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Ferrand, John, Ryli Hockensmith, Rebecca Fagen Houghton, and Eric R. Walsh-Buhi. "Evaluating Smart Assistant Responses for Accuracy and Misinformation Regarding Human Papillomavirus Vaccination: Content Analysis Study." Journal of Medical Internet Research 22, no. 8 (2020): e19018. http://dx.doi.org/10.2196/19018.
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Background Almost half (46%) of Americans have used a smart assistant of some kind (eg, Apple Siri), and 25% have used a stand-alone smart assistant (eg, Amazon Echo). This positions smart assistants as potentially useful modalities for retrieving health-related information; however, the accuracy of smart assistant responses lacks rigorous evaluation. Objective This study aimed to evaluate the levels of accuracy, misinformation, and sentiment in smart assistant responses to human papillomavirus (HPV) vaccination–related questions. Methods We systematically examined responses to questions about the HPV vaccine from the following four most popular smart assistants: Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana. One team member posed 10 questions to each smart assistant and recorded all queries and responses. Two raters independently coded all responses (κ=0.85). We then assessed differences among the smart assistants in terms of response accuracy, presence of misinformation, and sentiment regarding the HPV vaccine. Results A total of 103 responses were obtained from the 10 questions posed across the smart assistants. Google Assistant data were excluded owing to nonresponse. Over half (n=63, 61%) of the responses of the remaining three smart assistants were accurate. We found statistically significant differences across the smart assistants (N=103, χ22=7.807, P=.02), with Cortana yielding the greatest proportion of misinformation. Siri yielded the greatest proportion of accurate responses (n=26, 72%), whereas Cortana yielded the lowest proportion of accurate responses (n=33, 54%). Most response sentiments across smart assistants were positive (n=65, 64%) or neutral (n=18, 18%), but Cortana’s responses yielded the largest proportion of negative sentiment (n=7, 12%). Conclusions Smart assistants appear to be average-quality sources for HPV vaccination information, with Alexa responding most reliably. Cortana returned the largest proportion of inaccurate responses, the most misinformation, and the greatest proportion of results with negative sentiments. More collaboration between technology companies and public health entities is necessary to improve the retrieval of accurate health information via smart assistants.
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Srivastava, Nayan. "A.I.- Smart Assistant." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 2384–87. http://dx.doi.org/10.22214/ijraset.2021.35553.
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Artificial Intelligent is widely used when it comes to everyday life. Computer science explains AI research as a study of brilliant agents. Every In almost any direction one turns to today, some computer-based information processing technology intervention, whether by a person knowingly or not. Artificial Intelligence has already changed our way of life. A device that we can see in its nature and take action increases its chances of success goals. Input to the recommendations algorithm can be a file for user database and items, and careless removal will be recommendations. User to install in the system by voice or text. This paper presents a new approach to it. All over the world, many people use the assistant. This paper introduces visual applications an assistant that helps to give humanity a chance at various domains. This paper also describes the annoyance of using visual assistant technology.
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Ansari, t. Shamaila. "Smart Vehicle Assistant." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43302.
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Driver safety is a prime challenge in present day transportation systems, in which factors inclusive of sleep, sur- roundings, and vehicle dynamics considerably have an impact on site visitors accidents. This paper provides an incorporated machine, with AI and includes a proposal that integrates superior pc imaginative and prescient, system studying algorithms and real-time for statistics processing In addition to dates detected through landmark evaluation, vehicles that detection using latest object detection models inclusive of YOLO and lane departure warnings the usage of convolutional neural networks (CNNs), the system includes photo enhancement to overcome challenges which includes light a address ground conditions and environmental modifications. Extensive checking out and evaluation demon- strates the robustness, scalability and flexibility of the system to actual-international situations, massively improving accuracy and reaction time This painting lays the foundation for sensible, secure using solutions and contributes to the development of self sustaining automobile technology. Keywords- Vehicle Detection, Lane Departure Warning, Object Detection Algorithms, YOLO (You Only Look Once), Convolutional Neural Networks (CNNs), Facial Landmark Analysis, Real-Time Image Processing, Autonomous Vehi- cles, Low-Light Image Enhancement, Machine Learning for Transportation, AI in Driver Assistance Systems, Deep Learning in Automotive Applications, Traffic Safety Tech- nologies.
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Faiz, Zeeshan, Vedika Srivastava, and Suchitra Khoje. "Virtual Voice Assistant for Smart Devices." ECS Transactions 107, no. 1 (2022): 4315–26. http://dx.doi.org/10.1149/10701.4315ecst.
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Digital assistants have been a budding technology lately. In modern society, chatbots have found their way in many sectors of e-commerce. With widespread advancements in the field of artificial intelligence, developing machines to ease real life tasks is the norm of the day. Voice Assistants have gained a lot of popularity in this era of home automation and smart devices. These personal assistants, voice or text, can be easily programmed to perform many tasks by simply commanding them to. High tech industries like, Google have publicized voice-based search that is, especially, a bonanza for many like senior citizens who are not comfortable using the keypad/keyboard or English language as these assistants offer support in other languages like Hindi too. Any voice-based assistant works on two pivotal functions namely - listening to(detecting) commands and responding to the given commands given by user. Along with these two base functions, we need customized directive that will define the functionality of the voice assistant.
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Hsieh, Sara H., and Crystal T. Lee. "Hey Alexa: examining the effect of perceived socialness in usage intentions of AI assistant-enabled smart speaker." Journal of Research in Interactive Marketing 15, no. 2 (2021): 267–94. http://dx.doi.org/10.1108/jrim-11-2019-0179.
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Purpose Artificially intelligent (AI) assistant-enabled smart speaker not only can provide assistance by navigating the massive amount of product and brand information on the internet but also can facilitate two-way conversations with individuals, thus resembling a human interaction. Although smart speakers have substantial implications for practitioners, the knowledge of the underlying psychological factors that drive continuance usage remains limited. Drawing on social response theory and the technology acceptance model, this study aims to elucidate the adoption process of smart speakers. Design/methodology/approach A field survey of 391 smart speaker users were obtained. Partial least squares structural equation modeling was used to analyze the data. Findings Media richness (social cues) and parasocial interactions (social role) are key determinants affecting the establishment of trust, perceived usefulness and perceived ease of use, which, in turn, affect attitude, continuance usage intentions and online purchase intentions through AI assistants. Originality/value AI assistant-enabled smart speakers are revolutionizing how people interact with smart products. Studies of smart speakers have mainly focused on functional or technical perspectives. This study is the first to propose a comprehensive model from both functional and social perspectives of continuance usage intention of the smart speaker and online purchase intentions through AI assistants.
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Ibrahim Masood M, Mohammed. "Smart Home System Using Home Assistant." International Journal of Science and Research (IJSR) 12, no. 6 (2023): 1345–50. http://dx.doi.org/10.21275/sr23611035733.
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Pawar, Vivek V., Nelson A. Mahaware, and Aman A. Mogal. "Smart Glasses Using Google Assistant(AI)." International Journal of Research Publication and Reviews 6, no. 3 (2025): 6238–40. https://doi.org/10.55248/gengpi.6.0325.1293.
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S., Sekar, Abishek Aravinth K., Balamurugan M., Elavarasan D., and Ganesh Kumar M. "Smart Assistant for Essential Voice Interaction (EVI Assistant)." September 2024 6, no. 3 (2024): 263–77. http://dx.doi.org/10.36548/jaicn.2024.3.002.
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Voice assistants have emerged as a significant trend in contemporary society, revolutionizing human-computer interaction by processing and responding to verbal commands. By utilizing artificial intelligence, these programs efficiently interpret voice input to perform a wide range of tasks. In today's fast-paced world, voice assistants are essential tools that enhance productivity, accessibility, and convenience. For instance, Google's smartphone assistant, which has become familiar to children due to increased smartphone usage during the pandemic, and Amazon's Alexa, which controls household devices through the Internet of Things, showcase their broad utility. The research provides a comprehensive overview of voice assistants, with a focus on the various Python packages used in their development. Emphasizing the accessibility benefits for individuals with physical disabilities, voice assistants can perform tasks such as answering questions, setting reminders, and controlling smart devices.
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Berdasco, López, Diaz, Quesada, and Guerrero. "User Experience Comparison of Intelligent Personal Assistants: Alexa, Google Assistant, Siri and Cortana." Proceedings 31, no. 1 (2019): 51. http://dx.doi.org/10.3390/proceedings2019031051.
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Natural user interfaces are becoming popular. One of the most common natural user interfaces nowadays are voice activated interfaces, particularly smart personal assistants such as Google Assistant, Alexa, Cortana, and Siri. This paper presents the results of an evaluation of these four smart personal assistants in two dimensions: the correctness of their answers and how natural the responses feel to users. Ninety-two participants conducted the evaluation. Results show that Alexa and Google Assistant are significantly better than Siri and Cortana. However, there is no statistically significant difference between Alexa and Google Assistant.
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Gaikwad, Sharmila, Kush Hingol, Shreyash Kapadi, Sagar Renuke, and Mitesh Gaonkar. "Smart Assistant for Doctors." Journal of Computational and Theoretical Nanoscience 15, no. 11 (2018): 3324–27. http://dx.doi.org/10.1166/jctn.2018.7618.
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K.V.Varalakshmi, K.Lavanya, K.S.Nukesh, CH.Rupesh, Wasim Sk., and Gudapaty Nataraj. "College Enquiry Smart Assistant." College Enquiry Smart Assistant 8, no. 11 (2023): 4. https://doi.org/10.5281/zenodo.10299925.
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College Enquiry Chatbot is a Python web application designed to provide students with information about colleges, such as courses, fees, and admission processes. The chatbot uses artificial intelligence and machine learning algorithms to analyse user queries and provide personalized information. The project aims to create an expert system for college enquiry desks, using an android-based chatbot that communicates in natural language to a server. The chatbot can answer any queries students may have, and students can use the provided graphical user interface to ask questions. The chatbot is designed for college students and guardians, offering a simple and efficient way to access information. The technology demonstrator is used to verify the proposed framework for the chatbot.Keywords:- Chatbot, Python, Flask, Nltk.
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Mali, Amey, Shubhangi Kharche, Anamika Nevase, Parvathy Nair, and Chinmay Vaity. "Smart Blind Assistant Stick." Journal of Engineering Science and Technology Review 18, no. 1 (2025): 110–19. https://doi.org/10.25103/jestr.181.12.
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Surya, Pratap Singh. "AgriSense: Smart Farming Assistant." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 11 (2024): 1717–19. https://doi.org/10.5281/zenodo.14275356.
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The increasing demand for efficient and sustainable agricultural practices has led to the adoption of innovative technologies like the Internet of Things (IoT) and Wireless Sensor Networks (WSNs). These technologies are reshaping traditional farming methods by providing real-time data on key environmental and soil conditions. This paper explores the integration of IoT and WSN frameworks into agriculture, focusing on their applications in areas such as soil moisture monitoring, pest control, and irrigation optimization. Communication protocols like ZigBee, Wi-Fi, SigFox, and LoRaWAN are discussed alongside emerging technologies like RFID and printed sensors. While these systems offer significant benefits, they also face challenges related to energy efficiency, data accuracy, and scalability. This research highlights these challenges and proposes solutions, using AgriSense as a case study to demonstrate the practical application of IoT in enhancing productivity, reducing resource consumption, and promoting sustainable agriculture.
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Yazid, S. Rizal, and Dzulfikri Dzulfikri. "CHATGPT, SMART WRITING ASSISTANT CHATBOT FOR STUDENTS: AN ANALYSIS OF ITS DRAWBACKS." Abjadia : International Journal of Education 9, no. 1 (2024): 41–56. http://dx.doi.org/10.18860/abj.v9i1.24459.
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This research examines the drawbacks associated with ChatGPT, a smart writing assistant chatbot, within the context of student writing. Employing qualitative methods, notably in-depth interviews with 30 participants, the study meticulously analyzes the challenges and constraints entailed in relying on ChatGPT for writing assistance. Centered around five key themes — understanding, dependency, feedback, writing style, and plagiarism — the findings clarify that students struggle with comprehending ChatGPT's output, potentially leading to confusion and misinterpretation. The feedback provided by the AI writing assistant emerges as generic and lacking specificity, constraining its efficacy in guiding students' writing processes. Participants report an obvious shift towards more predictable and impersonal writing styles attributed to their usage of ChatGPT—furthermore, apprehensions surface concerning the unintentional risk of plagiarism when leveraging the tool. The implications underscore educators' need to acknowledge the limitations of AI writing assistants, offering targeted support to help students navigate these challenges while fostering critical thinking, creativity, and independent writing skills. The findings promote ongoing research and improvement in AI writing assistants to improve understanding, elevate feedback quality, and address identified limitations. By mitigating these drawbacks, educators, students, and developers can optimize the utility of AI writing assistants, ensuring they serve as valuable tools for supporting writing development while upholding critical thinking, creativity, and ethical writing practices. This research not only reveals the drawbacks of ChatGPT as a writing assistant but also advocates for continual research and development in the field of AI writing assistance.
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Borhade, Aradhya. "J.A.R.V.I.S: A Personal Assistant Robot." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 325–32. http://dx.doi.org/10.22214/ijraset.2024.59687.
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Abstract: Personal assistant robots are becoming increasingly popular as versatile devices that can assist individuals in various aspects of daily life. These robots are designed to be small and portable, with user-friendly interaction features that allow them to navigate tight spaces and interact closely with users. Equipped with sensors, cameras, and AI algorithms, personal assistant robots can perceive and respond to their environment, recognize faces and voices, and perform tasks such as setting reminders, providing information, and controlling smart home devices. They offer a range of benefits in different settings, including smart homes, healthcare facilities, and public spaces, where they can serve as personal assistants, health monitors, and information guides. The ability of personal assistant robots to learn and adapt to users' preferences and behaviors over time enables them to provide personalized and intuitive assistance, making them suitable for individuals of all ages. As advancements in their design and capabilities continue, personal assistant robots are expected to have an even greater impact on enhancing daily life in the future
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Elahi, Haroon, Guojun Wang, Tao Peng, and Jianer Chen. "On Transparency and Accountability of Smart Assistants in Smart Cities." Applied Sciences 9, no. 24 (2019): 5344. http://dx.doi.org/10.3390/app9245344.
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Smart Assistants have rapidly emerged in smartphones, vehicles, and many smart home devices. Establishing comfortable personal spaces in smart cities requires that these smart assistants are transparent in design and implementation—a fundamental trait required for their validation and accountability. In this article, we take the case of Google Assistant (GA), a state-of-the-art smart assistant, and perform its diagnostic analysis from the transparency and accountability perspectives. We compare our discoveries from the analysis of GA with those of four leading smart assistants. We use two online user studies (N = 100 and N = 210) conducted with students from four universities in three countries (China, Italy, and Pakistan) to learn whether risk communication in GA is transparent to its potential users and how it affects them. Our research discovered that GA has unusual permission requirements and sensitive Application Programming Interface (API) usage, and its privacy requirements are not transparent to smartphone users. The findings suggest that this lack of transparency makes the risk assessment and accountability of GA difficult posing risks to establishing private and secure personal spaces in a smart city. Following the separation of concerns principle, we suggest that autonomous bodies should develop standards for the design and development of smart city products and services.
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Akatev, Iaroslav Alekseevich. "An algorithm for improving the management process as part of a smart assistant integration into the organizational structure." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2025, no. 2 (2025): 98–105. https://doi.org/10.24143/2072-9502-2025-2-98-105.
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This paper examines the features of integrating smart assistants into the management structure of an organi-zational system. The purpose of the study is to form an algorithm describing the process of choosing a model for integrating smart assistants into the management structure and suggesting the optimal model for implementation as the final product. An overview of the software robotics market in the Russian Federation is proposed, taking into account the analysis of the growth dynamics of the software solutions market and their applications in the national economy. The features of automation of the management functions of smart assistants are determined, intermediate conclusions are drawn about the impact on the field of motivation, control, organization, decision-making and information support. The integration of the smart assistant into the management structure does not lead to a change in the structure, but leads to the use of the smart assistant as a tool for information transfer and automation of management functions. Four models are proposed as an example of integration: a single smart assistant, horizontal integration, vertical integration, and a hierarchical structure. The article describes the features of integration into the organizational system. The statement has been formed that these features do not depend on the subject area. The parameters of the description of the organizational system are selected to build an algorithm for choosing the optimal model. An algorithm for optimizing the management process has been developed as part of the integration of the smart assistant into the organizational management structure, a graphical representation of the algorithm is provided, as well as a text description explaining the specifics of calculating and determining parameter values. The algorithm allows an analyst at the design stage of the final digital product to make an informed decision about the features of integrating a smart assistant into the management structure, which in turn improves the quality of manufactured digital products and contributes to the informatization of the organization's management structure.
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Vashisht, Dr Vasudha, Ankit Rai, Dikshant Sharma, Ansh Sharma, and Ajinu Eapen Mathew. "Perceptive Personal Voice Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 2567–71. http://dx.doi.org/10.22214/ijraset.2022.41852.
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Abstract: In recent years, Artificial Intelligence (AI) and Machine Learning (ML) has shown progress in the field of technology. We know that the future of technology can be full of robotics. One of the most useful application of AI is Natural Language Processing (NLP). Voice Assistants is one of the greatest innovation of all time. It changes the way of livingof the people in many aspects. Mainly it was first introduced in smart-phones and then it gets its own popularity in the market. Voice assistants are using cloud computing for communication with the users. It is mainly used in households to control a lot of technology related devices. Most common devices that are using voice assistants are smart speakers and they are being used in colleges, homes, schools etc. There are many voice assistants present in the market such as ’SIRI’ by Apple, ’Alexa’ by Amazon, ’Bixby’ by Samsung. We are also trying to create abasic Voice Assistant by using Python. There are so many useful technology such as speech recognition that will be used in this project. We are creating a VA names Arsenal that is capableof executing a lots of commands. The purpose of this paper is to study how voice assistants and smart speakers are usedin everyday life and they way in which we can create a voice assistant. Index Terms: Natural Language Processing, Voice Assistant, Speech Recognition, Python, Artificial Intelligence
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Sharma, Khushboo, Disha Bahal, Aman Sharma, Ankita Garg, and Neeta Verma. "ARA- A Voice Assistant for Disabled Personalities." International Journal of Engineering Applied Sciences and Technology 7, no. 1 (2022): 106–9. http://dx.doi.org/10.33564/ijeast.2022.v07i01.015.
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This paper illustrates the implementation of our proposed voice assistant that provides assistance to disabled personalities over the website. ARA-the voice assistant is a software agent that can interpret human speech and respond via synthesized voices. The most popular voice assistants are Siri, Alexa, Cortana, and Google Assistant, which can all be found on smart phones and dedicated speakers. As voice assistants become more widely used, but have complex functionality and only open when we click the mic option, this will start on voice command, easier for the people who are blind or have cognitive disabilities. ARA will read out the content of the website and then using speech to text and text to speech modules along with selenium, our software can automate any website. The designed voice assistance connects with the intended applications to provide results that the user has demanded. The objective of this paper is to illustrate how voice assistants are used in everyday life and to explore whether there is potential for making them accessible for people with disabilities.
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.Karunamurthy., Dr A. "SPEAK SMART ENGINE." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–7. https://doi.org/10.55041/isjem03923.
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ABSTRACT Sara – Your Smart Voice Assistant is a personal desktop-based assistant developed using Python. It is designed to interact with the user through voice commands and assist in performing everyday tasks efficiently. The system responds with voice feedback and creates an engaging experience through a combination of speech interaction and on- screen visuals. Sara is built to offer a friendly, responsive, and secure environment for the user, making it ideal for day-to-day use as well as academic demonstration. The assistant begins with an animated welcome screen and background music to create an impressive introduction. It then performs face recognition to verify the user's identity, displaying a green tick and a hand symbol upon successful recognition. This step ensures secure and personalized access. Once verified, Sara greets the user based on the time of day and starts listening for voice commands. The user interface includes animated wave effects that respond when Sara speaks, enhancing the feeling of real-time interaction. Sara is capable of handling a wide range of tasks such as setting reminders, providing date and festival updates, and giving weather reports without using any external APIs. It also retrieves news headlines and live cricket scores directly from Google. On request, Sara can sing songs or play music and display pictures by searching for images online. It also helps with general knowledge by answering questions related to politics, geography, and agriculture, making it suitable for both personal and educational use. The assistant also offers several automation features. It can open commonly used applications like Notepad or a web browser, take screenshots, and send emails through voice commands. Additionally, it includes a simple doctor assistance feature to provide basic health-related responses. Every command is followed by a polite response such as “Ok” to confirm the action and maintain a consistent, user-friendly tone. These features work together to make Sara not just functional but also comfortable to use. This entire system is implemented in a single Python file with fewer than 300 lines of code, making it lightweight and easy to manage. Despite its compact structure, the assistant delivers a powerful combination of functionality, user interaction, and offline capability. With voice control, face verification, screen animations, and task automation, Sara stands out as a creative and practical solution that demonstrates strong project planning, efficient coding, and real-world application. Keyword This project involves a voice assistant developed using Python with features like face recognition and voice command processing. It includes speech responses and task automation for desktop applications. The assistant provides weather updates, news headlines, festival alerts, and live cricket scores. It supports functions like image search, setting reminders, opening apps, sending emails, and capturing screenshots.
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Dhote, Dipanshu, Shreyash Bhise, Prathmesh Barde, Sandesh Bageshwar, Rutuja Katekhaye, and Dr. A. B. Deshmukh. "Python Integrated Virtual AI Assistant." International Journal of Ingenious Research, Invention and Development 1, no. 3 (2023): 56–59. https://doi.org/10.5281/zenodo.7972912.
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<em>The advent of virtual assistant technology has revolutionized the way individuals interact with digital devices, providing a seamless and intelligent interface for various tasks and services. This abstract presents an overview of a virtual assistant project aimed at developing an intelligent and versatile virtual assistant capable of enhancing productivity and providing personalized assistance in today's fast-paced digital era. The virtual assistant project focuses on leveraging state-of-the-art artificial intelligence (AI) techniques, including natural language processing, machine learning, and deep learning, to create a sophisticated virtual assistant system. The primary objective is to design an assistant that understands user commands, interprets queries, and executes tasks effectively and efficiently. The virtual assistant will be equipped with advanced voice recognition capabilities to facilitate hands-free interactions, allowing users to communicate with the system using spoken commands. It will employ robust natural language understanding algorithms to comprehend user input, extract relevant information, and generate accurate and contextually appropriate responses. The project will also integrate advanced machine learning models to enable the virtual assistant to learn from user interactions, adapt to individual preferences, and continuously improve its performance.</em>
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Rocha, Ana Patrícia, Maksym Ketsmur, Nuno Almeida, and António Teixeira. "An Accessible Smart Home Based on Integrated Multimodal Interaction." Sensors 21, no. 16 (2021): 5464. http://dx.doi.org/10.3390/s21165464.
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Our homes are becoming increasingly sensorized and smarter. However, they are also becoming increasingly complex, making accessing them and their advantages difficult. Assistants have the potential for improving the accessibility of smart homes, by providing everyone with an integrated, natural, and multimodal way of interacting with the home’s ecosystem. To demonstrate this potential and contribute to more environmentally friendly homes, in the scope of the project Smart Green Homes, a home assistant highly integrated with an ICT (Information and communications technology) home infrastructure was developed, deployed in a demonstrator, and evaluated by seventy users. The users’ global impression of our home assistant is in general positive, with 61% of the participants rating it as good or excellent overall and 51% being likely or very likely to recommend it to others. Moreover, most think that the assistant enhances interaction with the smart home’s multiple devices and is easy to use by everyone. These results show that a home assistant providing an integrated view of a smart home, through natural, multimodal, and adaptive interaction, is a suitable solution for enhancing the accessibility of smart homes and thus contributing to a better living ambient for all of their inhabitants.
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Alchekov, Seyitmammet Saparmammedovich, Mohammed Abdulhakim Al-Absi, Ahmed Abdulhakim Al-Absi, and Hoon Jae Lee. "Inaudible Attack on AI Speakers." Electronics 12, no. 8 (2023): 1928. http://dx.doi.org/10.3390/electronics12081928.
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The modern world does not stand still. We used to be surprised that technology could speak, but now voice assistants have become real family members. They do not simply turn on the alarm clock or play music. They communicate with children, help solving problems, and sometimes even take offense. Since all voice assistants have artificial intelligence, when communicating with the user, they take into account the change in their location, time of day and days of the week, search query history, previous orders in the online store, etc. However, voice assistants, which are part of modern smartphones or smart speakers, pose a threat to their owner’s personal data since their main function is to capture audio commands from the user. Generally, AI smart speakers such as Siri, Google Assistance, Google Home, and so on are moderately harmless. As voice assistants become versatile, like any other product, they can be used for the most nefarious purposes. There are many common attacks that people with bad intentions can use to hack our voice assistant. We show in our experience that a laser beam can control Google Assistance, smart speakers, and Siri. The attacker does not need to make physical contact with the victim’s equipment or interact with the victim; since the attacker’s laser can hit the smart speaker, it can send commands. In our experiments, we achieve a successful attack that allows us to transmit invisible commands by aiming lasers up to 87 m into the microphone. We have discovered the possibility of attacking Android and Siri devices using the built-in voice assistant module through the charging port.
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Ravi, Shankar H., and Rawat Mahima. "SMART VOICE-BASED AI ASSISTANT FOR VISUALLY IMPAIRED PEOPLE." Recent Trends in Androids and IOS Applications 5, no. 2 (2023): 34–41. https://doi.org/10.5281/zenodo.8149224.
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<em>Technology advancement allows humans to live their lives efficiently and comfortably. However, some people with disabilities such as the visually impaired still find it difficult to use technology or smart devices. It is hard for people with visual disabilities to use smartphones or computers as visual information is the basis for more tasks in it. Nowadays AI is being used in all fields, with Python being its base language. Python is being used to write the codes for Voice Assistants as it is easier to use and understand. Voice Assistant is very helpful for visually impaired people as it helps them to use the technology without anyone’s helps. They can access their phone or laptops by giving instructions to the Virtual Assistant. In, Python there are a number of APIs that are used to create a Virtual Assistant one of them is SpeechRecognition which is used to convert speech to text. This API is used in several virtual assistants available in the market like Alexa, Siri, etc. Virtual Assistant makes it easier for Visually Impaired people to use the features of Phones or laptops like sending emails, searching on Google, opening any IDE and many more with just a voice command. The project aims to help visually impaired people use laptops or computers with just voice commands. This Voice assistant also helps the visually impaired recognises the text on any object and gives audio feedback.</em>
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A, Sathya, Priya L, Poornimathi K, and Anitha J. "Smart Assistant for Enhancing Agronomics." ECS Transactions 107, no. 1 (2022): 18315–22. http://dx.doi.org/10.1149/10701.18315ecst.
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Agriculture has been considered the backbone of India. But the growth of agriculture has declined in recent years which leads to a significant fall in the overall Gross Domestic Product (GDP). The Indian agricultural sector is on the brink of failure due to several factors like crop failures and farmer suicides. Even though there are a lot of help centers, welfare schemes, and modern technologies that the government provides, very few have adequate knowledge about that and fail to utilize them. Farmers are not ready to adapt to new methodologies and machineries. Thus, educating them in modern agriculture and equipping them with necessary modern machinery in a proper way is significantly crucial. This system makes the farmer aware of all the welfare schemes and subsidies provided by the government in case of any loss due to the natural disaster or any other relevant activities and helps the farmers to utilize them for the welfare of the crop. E services for crops and government schemes aim to provide information about the services or schemes available for the farmers. Farmers can also apply for the scheme for which they are eligible through the application. They buy and rent machinery from the government by availing the discounts they are eligible. Thus, the overall system acts as an apprentice for farmers and helps them to efficiently cultivate crops and maximize productivity.
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S, Mrs Preethi. "Smart Mirror with Voice Assistant." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (2019): 1587–89. http://dx.doi.org/10.22214/ijraset.2019.3294.
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Desai, Bibi Asma. "Smart Voice Assistant for IOT." International Journal for Research in Applied Science and Engineering Technology 7, no. 6 (2019): 2606–16. http://dx.doi.org/10.22214/ijraset.2019.6442.
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Ovchintseva, L. A. "SMART ASSISTANT FOR RURAL DEVELOPMENT." Russian Peasant Studies 5, no. 3 (2020): 187–91. http://dx.doi.org/10.22394/2500-1809-2020-5-3-187-191.
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S, Shahanas. "Smart Parking Your Parking Assistant." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46338.
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Abstract—Smart Park It is a software solution designed to enhance the parking experience in locations with a high volume of vehicles, such as airports, shopping malls, and other busy venues. Upon entering a mall, drivers must find a parking space for their motorcycles or cars, often relying on security personnel to assist in locating an available slot. Retrieving a vehicle from a crowded parking area can be challenging, as it requires remembering the exact location of the parked vehicle. While this task may be manageable in smaller facilities, it becomes increasingly difficult in larger environments like international airports. To address this issue, we propose a software application that utilizes AI technology. Upon arrival at the parking facility, the vehicle's license plate will be scanned by AI cameras at the entrance, and a ticket featuring slot address and a QR code will be issued. Scanning this QR code will provide directions to the designated parking space, facilitating both the parking and retrieval processes. The system will require two cameras: one at the entrance to capture the license plate and another within the parking area to identify available slots. Introduction
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Alkodri, Ari Amir, Supardi Supardi, Burham Isnanto, and Kiswanto Kiswanto. "Selection of the Best Computer Laboratory Assistant Using AHP and Smart Methods." JURNAL SISFOTEK GLOBAL 12, no. 1 (2022): 32. http://dx.doi.org/10.38101/sisfotek.v12i1.451.
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Computer Laboratory Assistant, abbreviated as ASLAB, includes a Lab Assistant in a Computer Laboratory. ASLAB helps improve service performance in the Computer Laboratory, such as assisting Lecturers when teaching practicum at the Computer Laboratory and assisting in installing software on Student laptops so that the performance of Computer Laboratory services is always good. Problems The Head of the Computer Laboratory has difficulty assessing the comparison of ASLAB with other ASLABs to determine the best or not good performance. The calculation of the final value uses the mean value method so that all criteria are considered to be of equal importance, so we cannot know which criterion is more important. The research objective is to apply the AHP and SMART methods for selecting the best Computer Laboratory Assistant so that it can determine the criteria and ranking weights for the best Computer Laboratory Assistant so that it can be used as a basis for decision making and applied by the Head of the Computer Laboratory in selecting the best Computer Laboratory Assistant.
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S, Abish Raj M., Manoj Kumar A. S, and Murali V. "Smart Assistant for Blind Humans using Rashberry PI." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1712–18. http://dx.doi.org/10.31142/ijtsrd11498.
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G Sai Charan, Gaurav Suhag, G Karthik, and G Sai Sandeep. "Home Automation Using Smart AI Assistant." Journal of Advanced Zoology 44, S6 (2023): 1056–62. http://dx.doi.org/10.17762/jaz.v44is6.2358.
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Artificial intelligence is taking over all the platforms and applications and making them more and more user friendly and intelligent and gives the application a human like behaviour and thinking. AI is being used everywhere now-a-days because applications that use AI are able to learn and improve and require less maintenance. This paper “Home automation using smart AI assistant” is a voice command-based AI assistant coded using python and Natural Language Processing NLP that can respond to user queries and responds to voice-based commands of the user. Using this AI Assistant users can send emails to anyone just by speaking the receiver’s name, subject of email and the email body. The users can send WhatsApp messages to any of their contacts just speak the message and to whom you want to send it, users can do google searches and open google tabs by voice search, users can do Wikipedia searches and can also open any YouTube video they want to watch. With this AI Assistant we can also get weather updates and news updates, just speak what news updates you want and the Assistant will read it for you. We can also check the computer performance, add remainders and to-dos. We can open our documents, play our favourite music or watch our favourite movie and do many more thigs just by a simple voice command. This assistant is also used for voice-controlled home automation. Using this Assistant, we can control our home electrical appliances with simple voice commands like turn on the room lights, fans, AC etc.
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R, Apoorva, Amogavarsha N R, Bhupin Hegde Hegde, Deepak B P, and Likithesh M. "AI and Arduino –Based Smart Home Robot Assistant." Advancement of IoT in Blockchain Technology and its Applications 2, no. 1 (2023): 12–16. http://dx.doi.org/10.46610/aibtia.2023.v02i01.003.
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The creation of genuine conversation between humans and machines is the primary objective of artificial intelligence (AI). To increase the connection between humans and machines, numerous IT firmshave developed various types of Virtual Personal Assistants (VPAs) based on their applications and use cases, including Microsoft's Cortana, Apple's Siri, Amazon Alexa, and Google Assistant. Using Python, we have developed our own virtual personal assistant that is only available for Windows and can be accessed on any Windows explorer version, including Windows 7, 8, and 10. Python is used as a programming language because it has several important libraries that are used to carry out tasks. Our virtual assistant can identify and respond to the user's voice utilizing python installation packages. Because of how simple it is, home automation has become considerably more popular and in demand in recent years. Recently, work in this area has taken place, and a few systems that either use voice assistants or applications to manage electrical appliances have been developed. To administer the smart home and its various apps, an embedded system is employed as a local server. The findings show a variety of activities that the robot can take to answer the user's questions. The activities performed can be voice responses, mechanical moves, and motions, software tasks, or simply text messages.
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Sharma, Khushboo, Disha Bahal, Aman Sharma, Ankita Garg, and Neeta Verma. "REVIEW ON ARA- A VOICE ASSISTANT FOR DISABLED PERSONALITIES." International Journal of Engineering Applied Sciences and Technology 7, no. 1 (2022): 172–75. http://dx.doi.org/10.33564/ijeast.2022.v07i01.026.
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This paper illustrates the implementation of our proposed voice assistant that provides assistance to disabled personalities over the website. ARA-the voice assistant is a software agent that can interpret human speech and respond via synthesized voices. The most popular voice assistants which can all be found on smart phones and dedicated speakers. As voice assistants become more widely used, but have complex functionality and only open when we click the mic option, this will start on voice command, easier for the people who are blind or have cognitive disabilities. ARA will read out the content of the website and then using speech to text and text to speech modules along with selenium, our software can automate any website. The designed voice assistance connects with the intended applications to provide results that the user has demanded. The objective of this paper is to illustrate how voice assistants are used in everyday life with minimal efforts and to explore whether there is potential for making them accessible for people with disabilities.
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S, Nirmal Kumar, Prathinan K, Suresh G, and Prema P. "Smart Voice Assistant for Library System." International Research Journal of Multidisciplinary Technovation 2, no. 4 (2020): 31–37. http://dx.doi.org/10.34256/irjmt2045.
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Library plays an important role in student’s life. It is also helpful for the research scholars. Today libraries are established in all places. Finding a book in the library is a herculean task. Some people even loose interest while searching the required book. Searching for books in computer also takes much time. In our project we use voice recognition to find books which will make the herculean task easier. Even the people without system knowledge can access this and find books in an easier way. It reduces the time in searching books and makes the library user friendly.
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Kushwah, Ms Prema. "Smart Autonomous Nurse Assistant Robot (SANAR)." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 4613–19. http://dx.doi.org/10.22214/ijraset.2024.62650.
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Abstract: In the evolving landscape of healthcare, the integration of innovative technologies has become paramount to enhance efficiency, accessibility, and usability across all sectors, particularly in the medical industry. This project proposes the development of a Smart Autonomous Nurse Assistant Robot (SANAR) aimed at revolutionizing medical care delivery, especially during emergencies and pandemics like Covid-19. SANAR utilizes cutting-edge technology to streamline disease diagnosis, monitor patient health in real-time, and facilitate drug delivery. The core of SANAR's functionality lies in its utilization of a health tracker system-based IoT platform, which continuously analyzes vital patient data, including oxygen levels, pulse rate, and temperature. Through simple text commands and a timer-based medicine scheduler, SANAR ensures timely medication administration, leveraging a cloud server for seamless data access and management with utmost security. Equipped with advanced sensors such as oximeter, heartbeat, ultrasonic sensors, and a voice module, SANAR leverages Internet of Things (IoT) technology to enable data storage and retrieval over HTTP and MQTT protocols, facilitating connectivity and scalability. The primary goal of this project is to democratize smart automation in healthcare, making it accessible and affordable to all segments of society, ultimately empowering medical staff to deliver efficient and effective care.
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Kamal, Doaa Abd Elhai, Hala Walid Ahmed, Mehrail Victor Fahmy, et al. "Electronics……Hi Smart Assistant (Action Research)." البحوث التطبيقية في العلوم والانسانيات 1, no. 1 (2024): 99–118. http://dx.doi.org/10.21608/aash.2024.376864.
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Christopoulou, Stella C. "A smart citizen healthcare assistant framework." Health and Technology 3, no. 3 (2013): 249–65. http://dx.doi.org/10.1007/s12553-013-0058-3.
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Rivas-Blanco, I., C. Lopez-Casado, C. J. Perez-del-Pulgar, F. Garcia-Vacas, J. C. Fraile, and V. F. Munoz. "Smart Cable-Driven Camera Robotic Assistant." IEEE Transactions on Human-Machine Systems 48, no. 2 (2018): 183–96. http://dx.doi.org/10.1109/thms.2017.2767286.
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Telsang, Supriya, Aditya Pimparwar, Palak Pimpalkar, et al. "Smart Lamp with Integrated Voice Assistant." International Journal for Research in Applied Science and Engineering Technology 12, no. 6 (2024): 999–1004. http://dx.doi.org/10.22214/ijraset.2024.63252.
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Abstract: Over the past few years, IoT (Internet of Things) has become one of the most important technologies of the 21st century. Now that we can connect everyday objects to the internet via embedded devices, seamless communication is possible between people, processes, and things. Using IoT we have connected our smart lamp with an application to control and monitor it. This research paper aims on the development of a lamp with multiple features and operating via application using IoT technology. The application offers users to control the lamp using this mobile application and a LDR (Light Dependent Resistor) to adjust lightning effects. In addition to the mobile application, this lamp consists of an air-purifier which purifies the surrounding air and lightning effects provide comfort and convenience to the user. Furthermore, to reduce electricity consumption, this lamp will have dual charging methods, electric as well as solar. Also, this lamp will provide a charging slot to allow users to charge their mobile phones instead of using a separate power bank. For all this features to be integrated in a single device, Raspberry Pi is the most important tool used here. The proposed smart lamp with multiple features and the integration of the raspberry pi and air filter offers numerous benefits to users. It provides convenience, flexibility, and energy efficiency by allowing users to control the device simply using an application. The integrated voice assistant is one of the most important features to handle the device.
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Barot, Raj, and Mahesh Panchal. "Smart Voice Assistant with Face Recognition." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2568–72. https://doi.org/10.22214/ijraset.2025.69170.
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Abstract: Individuals with disabilities often struggle to navigate conventional digital environments due to physical, visual, or auditory limitations. This study introduces a desktop-based intelligent assistant that merges voice control with facial recognition to deliver an inclusive, user-friendly solution. By harnessing the capabilities of Artificial Intelligence (AI), Computer Vision, and Natural Language Processing (NLP), the system offers a flexible, multi-modal interface. Voice interaction assists visually impaired users, text-based communication supports those with hearing impairments, and facial recognition aids users with limited physical mobility. The proposed solution emphasizes offline functionality, security, and accessibility, aiming to empower users through improved digital interaction and increased independence.
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B., Aarthi, Abirami R.A., Priyadharshini B., and Seethalakshmi L. "Smart Medicine Assistant Using Arduino Board." International Journal of Innovative Science and Research Technology 7, no. 6 (2022): 1306–8. https://doi.org/10.5281/zenodo.6849982.
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Medicines are one of the most vital requirements in the society. There is a chance for the pharmacist to sell expired medicines due to human error. To avoid such situations, a smart medicine assistant can be used to avoid such dangerous situations. By creating barcode with the use of Raspberry-pi and IoT technology, the expiry date and stock availability can easily be examined. This will make revolution in medical field.
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Indu, Mrs. "Smart Assistant for Visually Impaired People." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 661–64. https://doi.org/10.22214/ijraset.2025.70224.
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Abstract: It is difficult for blind persons to move around. While traditional white canes only offer 3D space assistance and do not inform the user of oncoming objects, potholes, waterways, flames or slopes. In this paper, we have so far developed the filter blind stick with an Arduino UNO and different sensors, such as the fire sensor, water sensor, depth sensor, and ultrasonic sensor, to detect heat, water, and obstacles in the user's path. The new proposed system improves mobility, safety, and independence of blind individuals. Smart assistant for visually impaired is designed to process the data in real-time which helps the user identify the obstacles in the way and warn at the earliest time via voice so that the user can walk more confidently. The use of several sensors guarantees broad hazard detection, reducing risk in both indoor and outdoor settings. The addition of LED indicators and a switch improves usability too. The device utilizes an Arduino Uno microcontroller, an APR9600-based 8-channel voice module, and four environmental sensors—fire, water, depth, and ultrasonic—to detect hazards. The system issues real-time voice alerts via a speaker and sends GPS location details through a GSM core board module. Power is regulated using a buck converter, ensuring efficiency and portability. The prototype emphasizes accessibility, low cost, and ease of use, with potential applications in both urban and rural areas. This research proposes a cost-effective, smart assistant device designed to increase situational awareness and safety for visually impaired persons.
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Janki, Janki. "Smart Conversational Interface: Bridging the Human-Machine Gap to Enhance Daily Life." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46462.
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Abstract New and unusual will replace the old and familiar with the intelligent virtual assistants (IVAs). The study was intended to develop an intelligent virtual assistant that actually uses the technologies of natural language processing (NLP), machine learning, and a few others in addressing an extensive number of scope user needs through voice command and automated response. The assistant operates on a deep learning model based on sequential neural network architecture and works on CountVectorizer to convert user input into numerical data. The model continues with a number of dense layers refining the features and categorizing commands into predefined actions and ensures that user input with diverse commands is understood properly. Some of the activities the intelligent virtual assistant can perform are entertainment, obtaining information, and managing tasks. This intelligent virtual assistant paves the way to demonstrate that advanced artificial intelligence can ease everyday life and maximize convenience by humanizing interactions and providing accurate and interesting responses. The paper also highlights future research possibilities related to improving the scale of algorithms and making context more tractable. Keywords: Intelligent Virtual Assistant, Natural Language Processing, Speech Recognition, Emotion Recognition, Multilingual Support, Machine Learning.
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Ambulkar, Pradnya. "Home Automation Using Google Assistance." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (2022): 676–80. http://dx.doi.org/10.22214/ijraset.2022.40319.
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Abstract: This document has an automation proposal using voice via Google Assistant. Home Automation or Domestic a household automation term invented by Jim Hill has been significantly evolved. The Apple Home Kit is also significantly more expensive, over $100 (USD) more than the Google Home for a basic setup. Philips Hue, a smart light controlled by Google Assistant, Amazon Echo and Siri, Apple's voice assistant, costs around $145 (USD). So overall we can see here that to make our home smart we have to invest a lot, say around $250 (USD) for a basic setup. What if we could automate our home indoors (Smartphone cost is not included as it's supposed to belong to every individual these days) $10 (USD) and you can control up to 8 devices at the Google assistant help? Well, this document describes the implementation of such a system. Keywords: IOT, Nodemcu, Relay board, Google Assistance, IFTTT
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Yamsaengsung, Siam, and Borworn Papasratorn. "Conceptual Model for an Intelligent Persuasive Driver Assistant." KnE Social Sciences 3, no. 1 (2018): 157. http://dx.doi.org/10.18502/kss.v3i1.1404.
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Traffic congestion is a serious issue for large cities. This is especially critical for cities that has insufficient mass transit system like Bangkok. Although transportation infrastructure projects and rail mass transit lines are being implemented, these efforts require major financial investment and take a long time to complete. This work proposes to help reduce traffic problems through influencing a change in driver behavior. In this initial stage, a model for an intelligent persuasive driver assistant is conceptualized as a voice-interactive smart assistant on a smartphone. The system uses information about the driver, his physical state, vehicle performance information, and geolocation information to form persuasive strategies to influence driver behavior and to adapt user interfaces and interactions to reduce driver distraction. Integrating these components together is expected to provide improved assistance in driving tasks and affect driving behavior changes. Keywords: intelligent driver assistant, navigation, smart assistant, persuasive technology
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Olar, Marius Leonard, Marius Risteiu, Arun Fabian Panaite, Mihai Rebrisoreanu, and Oliviu Musetoiu. "Controlling a robotic arm with Augmented reality." MATEC Web of Conferences 305 (2020): 00022. http://dx.doi.org/10.1051/matecconf/202030500022.
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Under the circumstances of a patient’s upper limb disability, aided by a robotic arm with faulty controls, assistance is needed, using augmented reality as an auxiliary. Our system, with a headset, using an internet connection and an augmented reality device, placed on the assistant’s head, can ensure communication between the two, for both remote supervision and control. The assistant can enhance the control over the robotic arm, while having a head up display on the augmented reality glasses, based on what the patient sees. The communication is established through PC or mobile devices, connected to the internet. Having the patient’s view, and enhanced control over the robotic arm, the assistant can interact with nearby smart objects.
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Anantwal, Sumit. "J.A.R.V.I.S. AI: A Virtual Voice Assistant System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45133.
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JARVIS is a next-generation virtual assistant designed to overcome limitations in natural language understanding, contextual awareness, and device compatibility. By leveraging technologies like NLP, machine learning, and IoT integration, it offers personalized interactions, automates tasks, and enhances productivity across domains such as smart homes, healthcare, and finance. With robust home automation capabilities, JARVIS can control and optimize household appliances, lighting, and security systems, creating a smarter and more responsive living environment. Additionally, its object detection features enable real-time identification and analysis of visual inputs, making it valuable for applications like surveillance, accessibility support, and smart navigation. JARVIS adapts to user preferences over time, ensuring relevant and timely assistance while prioritizing privacy and data security through robust measures. Its scalable architecture supports future growth and seamless integration across devices, fostering intuitive, efficient technology experiences. JARVIS aspires to redefine virtual assistants, enriching daily life through smarter, user-centric, and secure interactions. Index Terms: Natural Language Processing (NLP), Machine Learning, Internet of Things (IoT), Voice & Speech Recognition, User Personalization, Home Automation, Object Detection
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Tamanna, Iffat, and Sweety Lima. "An IoT Based Smart Home Automation Using Google Assistant." International Journal of Research and Innovation in Applied Science VIII, no. IX (2023): 112–19. http://dx.doi.org/10.51584/ijrias.2023.8913.
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Home automation systems have become an essential component of contemporary homes as a result of the quick spread of smart gadgets and the rising popularity of voice-controlled assistants. This study proposes a comprehensive home automation system that integrates Google Assistant with the goal of improving the ease and efficacy of everyday household tasks. The technology allows users to operate a variety of smart appliances and gadgets using voice commands using the numerous device interoperability and natural language processing capabilities of Google Assistant. In this paper, the Home Automation System’s design, implementation, and assessment are covered, along with some of its advantages, features, and practical uses. The results show whether the system works in the context of home automation to improve comfort, energy efficiency, and all-around user experience.
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Dwifians, Arditya. "Google Assistant-Enabled Smart Lock System Using NodeMCU ESP8266 for IoT." bit-Tech 6, no. 3 (2024): 265–70. http://dx.doi.org/10.32877/bt.v6i3.916.
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Security is an important aspect that needs to be considered in a smart lock system. Conventional key tools currently have low security levels and are vulnerable to attacks. Therefore, this research aims to design a smart lock security system that utilizes Google Assistant features from Google and the NodeMCU ESP8266 module based on the Internet of Things (IoT). By using Google Assistant, users can control this smart lock with voice commands. The NodeMCU ESP8266 is used as the main controller in this system, responsible for receiving commands from Google Assistant and controlling the smart lock mechanism. A prototype implementation was conducted to test the performance of this smart lock security system. In the testing phase, the system's performance was measured based on voice command responsiveness, response speed, and the security it provides. The test results show that this smart lock security system offers a higher level of security compared to conventional key tools, with a security satisfaction rate of up to 90% among the 10 respondents related to the use of this device. With this research, it is expected to enhance community security by introducing a safer and more reliable smart lock tool based on virtual assistant. This security system, utilizing Google Assistant features and the NodeMCU ESP8266, can provide ease and convenience for users while maintaining optimal security.