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Journal articles on the topic 'Personalized Assistants'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Singh, Ajit Pal, Rahul Saxena, and Suyash Saxena. "The Future of Learning: AI-Driven Personalized Education." Asian Journal of Current Research 9, no. 4 (2024): 207–26. https://doi.org/10.56557/ajocr/2024/v9i49018.

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Virtual assistants are rapidly transforming the educational landscape. These AI-driven tools offer personalized support, enhancing student engagement and improving learning outcomes. Virtual assistants can answer questions instantly, clarify complex concepts, and create tailored study plans. By automating routine tasks and providing on-demand assistance, they free up educators to concentrate on more advanced instructional activities. Moreover, virtual assistants can analyze student performance data to pinpoint areas needing improvement and suggest targeted interventions. This data-driven appro

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Baghel, Ankit, Akansha Pawar, Janvi Hatwar, Devansh Shrivastav, and Dr Shruti Thakur. "Enhancing Virtual Assistance for Mental Health Support." International Journal of Preventive Medicine and Health 5, no. 4 (2025): 21–24. https://doi.org/10.54105/ijpmh.d1071.05040525.

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This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project's objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes and exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and providing coping strategies, empha

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Ankit, Baghel. "Enhancing Virtual Assistance for Mental Health Support." International Journal of Preventive Medicine and Health (IJPMH) 5, no. 4 (2025): 21–24. https://doi.org/10.54105/ijpmh.D1071.05040525.

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<strong>Abstract: </strong>This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project's objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes, as well as exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and

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Ankit, Baghel. "Enhancing Virtual Assistance for Mental Health Support." International Journal of Preventive Medicine and Health (IJPMH) 5, no. 4 (2025): 21–24. https://doi.org/10.54105/ijpmh.D1071.05040525/.

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<strong>Abstract:</strong> This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project's objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes and exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and providi

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Hyma, J., M. Rama Krishna Murty, and A. Naveen. "Personalized privacy assistant for digital voice assistants: Case study on Amazon Alexa." International Journal of Knowledge-based and Intelligent Engineering Systems 25, no. 3 (2021): 291–97. http://dx.doi.org/10.3233/kes-210071.

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The advancements in modern technologies permit the invention of various digital devices which are controlled and activated by people’s gestures, touch and even by one’s voice. Google Assistant, iPhone Siri, Amazon Alexa etc., are most popular voice enabled devices which have grabbed the attention of digital gadget users. Their usage definitely makes the life easier and comfortable. The other side of these smart enabled devices is incredible violation of the privacy. This happens due to their continuous listening to the user and data transmission over a public network to the third-party service

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Prof., N. B. Vairagde Lokesh Sawalkar Pratik Bhalme Ankit Surkar Dipika Uparade Vaishanvi Chavhan. "Enhancing Smart Campus Experiences in Higher Education with AI-Powered Voice Assistants." International Journal of Advanced Innovative Technology in Engineering 10, no. 2 (2025): 217–24. https://doi.org/10.5281/zenodo.15442649.

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The integration of AI-driven voice assistants in higher education is transforming smart campus experiences by enhancing accessibility, efficiency, and student engagement. These intelligent systems leverage natural language processing (NLP) and machine learning (ML) to facilitate seamless interactions between students, faculty, and campus services. By integrating voice-enabled AI with smart campus infrastructure, institutions can create a more connected and automated environment, improving communication and operational efficiency. These systems personalize learning experiences by offering tailo

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suyal, Mohit. "Virtual Assistants and AI Chat bots for Home Management and Family Organization." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 07 (2025): 1–9. https://doi.org/10.55041/ijsrem51157.

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In the digital age, the integration of artificial intelligence (AI) into daily life has become increasingly prevalent, particularly through virtual assistants and AI chatbots. These intelligent systems are now playing a pivotal role in home management and family organization, transforming the way households operate. This research paper explores the impact, applications, and implications of AI-powered virtual assistants and chatbots in managing home tasks, improving communication, and enhancing overall family coordination.The study investigates how AI tools such as Amazon Alexa, Google Assistan

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Prof., C. D. Sawarkar Prof. Pranjali D. Waghmare Akanksha S. Tripathi Sanket S. Alane. "Desktop Voice Assistant Using Artificial Intelligent." International Journal of Advanced Innovative Technology in Engineering 9, no. 3 (2024): 279–83. https://doi.org/10.5281/zenodo.12737234.

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Integrating artificial intelligence (AI) in desktop voice assistants has revolutionized how we interact with computers. These advanced AI-powered voice assistants, such as Jarvis AI, can understand natural language commands, process information, and provide personalized assistance to users seamless and intuitive manner. The voice assistant uses speech recognition modules which is useful for recognizing and understanding human input voice and on the basis of user input command it gives the required input queries or performs the given task like opening and closing different applications, can sea

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Tank, Hetvi, Kirit Modi, and Ankur Goswami. "Improving Voice Assistant User Experience through Context-Awareness and Personalization." SPU Journal of Science, Technology and Management Research 1, no. 1 (2024): 45–55. https://doi.org/10.63766/spujstmr.24.000008.

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Context awareness, the system's ability to comprehend and adapt to the user's surroundings, is harnessed through cutting-edge natural language processing, environmental sensing, and machine learning algorithms. To achieve context awareness, the proposed system employs advanced natural language processing and machine learning algorithms. The incorporation of context-aware features allows voice assistants to grasp the situational nuances of a conversation. This involves considering the user's prior commands, inquiries, and the broader context of the dialogue. Such awareness enables the voice ass

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Sajja, Ramteja, Yusuf Sermet, Muhammed Cikmaz, David Cwiertny, and Ibrahim Demir. "Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education." Information 15, no. 10 (2024): 596. http://dx.doi.org/10.3390/info15100596.

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This paper presents a novel framework, artificial intelligence-enabled intelligent assistant (AIIA), for personalized and adaptive learning in higher education. The AIIA system leverages advanced AI and natural language processing (NLP) techniques to create an interactive and engaging learning platform. This platform is engineered to reduce cognitive load on learners by providing easy access to information, facilitating knowledge assessment, and delivering personalized learning support tailored to individual needs and learning styles. The AIIA’s capabilities include understanding and respondin

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Researcher. "AI-POWERED SPEECH EMOTION RECOGNITION FOR PERSONALIZED ASSISTANTS." International Journal of Artificial Intelligence (IJAI) 5, no. 2 (2024): 13–23. https://doi.org/10.5281/zenodo.15267558.

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<em>The introduction of AI AIpowered speech emotion recognition (SER) acts as a major enabler for the personalized assistants to recognize and understand human emotion to react to them accordingly. The objective of this research is to develop a robust SER (Sentiment Extraction & Representation) model, which uses emerging technologies like (deep learning), (Transfer Learning), and models based on (BERT (Bidirectional Encoder Representations from Transformers)) for the best results. It utilizes the proposed model which is based on multimodal data inputs (e.g. audio features and text based em

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Zhou, Chenyi, Linwei Wang, and Yanqun Yang. "Dialogue at the Edge of Fatigue: Personalized Voice Assistant Strategies in Intelligent Driving Systems." Applied Sciences 15, no. 12 (2025): 6792. https://doi.org/10.3390/app15126792.

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With the rapid development of intelligent transportation systems, voice assistants are increasingly integrated into driving environments, providing an effective means to mitigate the risks of fatigued driving. This study explored drivers’ interaction preferences with voice assistants under different fatigue states and proposed a fatigue-state-based dialogue-awakening mechanism. Using Grounded Theory and the Stimulus–Organism–Response (SOR) framework, in-depth interviews were conducted with 25 drivers from diverse occupational backgrounds. To validate the qualitative findings, a driving simulat

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Xiao, Ziang, Sarah Mennicken, Bernd Huber, Adam Shonkoff, and Jennifer Thom. "Let Me Ask You This: How Can a Voice Assistant Elicit Explicit User Feedback?" Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (2021): 1–24. http://dx.doi.org/10.1145/3479532.

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Voice assistants offer users access to an increasing variety of personalized functionalities. Researchers and engineers who build these experiences rely on various signals from users to create the machine learning models powering them. One type of signal is explicit feedback. While collecting explicit user feedback in situ via voice assistants would help improve and inspect the underlying models, from a user perspective it can be disruptive to the overall experience, and the user might not feel compelled to respond. However, careful design can help alleviate the friction in the experience. In

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Xiong, Li, Yuanyuan Chen, Yi Peng, and Yazeed Yasin Ghadi. "Improving Robot-Assisted Virtual Teaching Using Transformers, GANs, and Computer Vision." Journal of Organizational and End User Computing 36, no. 1 (2024): 1–32. http://dx.doi.org/10.4018/joeuc.336481.

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This study aims to enhance the efficacy of personalized learning paths by amalgamating transformer models, generative adversarial networks (GANs), and reinforcement learning techniques. To refine personalized learning trajectories, the authors integrated the transformer model for enhanced information assimilation and learning path planning. Through generative adversarial networks, the authors simulated the fusion and interaction of multi-modal information, refining the training of virtual teaching assistants. Lastly, reinforcement learning was employed to optimize the interaction strategies of

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Srivastava, Arushi. "Desktop Assistant using Machine Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34251.

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The post-2017 era witnessed a surge in desktop assistants and voice searches, driven by advancements in technology, notably in mobile phones and desktops. Breakthroughs in AI, NLP, and ML empowered devices to understand and respond to human commands effectively, laying the groundwork for voice-driven functionalities. Mobile phones and desktops evolved as central hubs for digital activities, necessitating seamless integration and user-friendly interfaces. Desktop assistants serve as bridges, facilitating intuitive interaction. The demand for faster and more reliable input led to the development

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Karunakaran, Shilesh, and Arpit Jain. "Fine-Tuning LLMs for Personality Preservation in AI Assistants." International Journal of Research in Modern Engineering & Emerging Technology 13, no. 4 (2025): 172–91. https://doi.org/10.63345/ijrmeet.org.v13.i4.10.

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The application of large language models (LLMs) in artificial intelligence (AI) assistants has drawn a lot of interest due to their ability to generate conversations that are close to human-like interaction and to provide contextually relevant responses. Nonetheless, the age-old problem is still that of preserving the personality and consistency of the AI system across different interactions. Despite the advances in conversational AI, most AI assistants lack the ability to maintain a consistent personality, resorting to generating robotic conversations or those that lack personality. This work

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Yoga Adiyanto. "The Future of Virtual Shopping Assistants : AI-Powered Solutions for a Personalized Marketplace Experience." Green Inflation: International Journal of Management and Strategic Business Leadership 2, no. 2 (2025): 59–73. https://doi.org/10.61132/greeninflation.v2i2.323.

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The advancement of artificial intelligence (AI) technology has transformed the paradigm of shopping experiences on e-commerce platforms. This article examines the future of AI-powered virtual shopping assistants designed to provide personalized solutions in the digital marketplace experience. Virtual shopping assistants, driven by technologies such as chatbots, voice assistants, and machine learning, enable consumers to receive more relevant product recommendations and a shopping experience tailored to their preferences. This study aims to explore how the implementation of AI-powered virtual s

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Govindharaju, Karthi, Rajarajachozhan C, Mirudhula D, and Janani R. "AI-Twin: AI-Powered Digital Twin for Personalized Assistance and Predictive Decision- Making." International Journal of Research and Scientific Innovation XII, no. III (2025): 609–17. https://doi.org/10.51244/ijrsi.2025.12030045.

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AI-driven digital assistants are vital for automating operations and optimizing user interactions, but current systems tend to lack adaptability, contextuality, and real-time learning. AI Twin is a future-generation digital twin created with the intent of personalized assistance and predictive decision-making. With the use of reinforcement learning, it learns and adjusts to user actions in real-time, fine-tuning responses and enhancing decision-making capabilities with the passage of time. As opposed to traditional AI assistants, AI Twin focuses on privacy using local data processing, minimizi

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Raut, Aritra, Abhisek Tiwari, Subrata Das, et al. "Reinforcing personalized persuasion in task-oriented virtual sales assistant." PLOS ONE 18, no. 1 (2023): e0275750. http://dx.doi.org/10.1371/journal.pone.0275750.

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Purpose Existing task-oriented virtual agents can assist users with simple tasks like ticket booking, hotel reservations, etc. effectively and with high confidence. These virtual assistants, however, assume specific, predictable end-user behavior, such as predefined/servable objectives, which results in conversation failures in challenging situations, such as when goals are unavailable. Methodology Inspired by the practice and its efficacy, we propose an end-to-end framework for task-oriented persuasive dialogue generation that combines pre-training and reinforcement learning for generating co

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Karthik, J. "AI-Powered Voice Assistant for Accessibility Applications." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 5332–34. https://doi.org/10.22214/ijraset.2025.71470.

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Abstract: AI-powered voice assistants are revolutionizing accessibility applications by offering intuitive, hands-free interaction for individuals with disabilities. These technologies enable users to manage tasks, control smart devices, and enhance their overall experience, fostering inclusivity and independence. With features such as natural language processing (NLP), these assistants understand and conversationally respond to spoken commands, making interactions seamless and user-friendly. They can learn individual preferences, providing personalized experiences that enhance engagement. Add

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Mahesh T R. "Personal A.I. Desktop Assistant." International Journal of Information Technology, Research and Applications 2, no. 2 (2023): 54–60. http://dx.doi.org/10.59461/ijitra.v2i2.58.

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    Early As we all know, how life is interlinked with the technology and the use of AI. AI-powered voice assistants have become an integral part of our lives, intertwining technology and daily tasks. A Personal Virtual Assistant allows a user to command or ask questions in the same manner that they would do with another human and are even capable of doing some basic tasks like opening apps, doing Wikipedia searches without opening a browser, playing music etc, with just a voice command. This project presents the development of a personal desktop assistant using Python,

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Milić, Marko, Šćepan Sinanović, Tanja Prodović, Slobodan Subotić, and Tatjana Kilibarda. "Digital assistants for education and support of patients with endocrine disorders." Medicinski glasnik Specijalne bolnice za bolesti štitaste žlezde i bolesti metabolizma 30, no. 96 (2025): 7–32. https://doi.org/10.5937/mgiszm2596007m.

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Digitalni asistenti, uključujući mobilne aplikacije i chatbotove zasnovane na veštačkoj inteligenciji, transformišu zdravstvenu negu pružajući personalizovanu podršku pacijentima sa hroničnim bolestima. Ovo istraživanje ispituje ulogu digitalnih asistenata u unapređenju pri-1 Šćepan Sinanović, Visoka medicinska škola strukovnih studija "Milutin Milanković", Beograd, Abstract: Digital assistants, including mobile applications and AI-po-wered chatbots, are revolutionizing healthcare by providing personalized support to patients with chronic conditions. This research examines the role of digital

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Arunkumar, Paramasivan. "AI-Enhanced virtual Assistants in Healthcare: Streamlining Administrative Tasks and Improving Patient Engagement." Journal of Scientific and Engineering Research 7, no. 10 (2020): 262–68. https://doi.org/10.5281/zenodo.14554625.

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The integration of AI-driven virtual assistants in healthcare is transforming administrative operations and enhancing patient engagement, presenting a significant shift in the sector’s approach to efficiency and patient-centered care. By automating routine administrative tasks, such as appointment scheduling, billing inquiries, and patient data management, AI virtual assistant free healthcare professionals from time-consuming duties, allowing them to concentrate on direct patient care. This shift not only improves operational efficiency but also minimizes the administrative burden on hea

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Devi, Geetha, and Kiran Chanda. "CUSTOMER SKEPTICISM AND ACCEPTANCE OF CONVERSATIONAL COMMERCE IN ONLINE SHOPPING." ICTACT Journal on Management Studies 8, no. 1 (2022): 1513–18. https://doi.org/10.21917/ijms.2022.0220.

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Online retailers want to provide ease of online shopping to their customers. Online customers are providing personalized services to their customers to increase the effectiveness of online shopping and increase customer satisfaction. Digital assistants like text medium (Facebook, WhatsApp and Instagram etc.) and verbal medium (Alexa, Siri, Google Assistant, Windows Cortana etc.) are helping customers and providing them convenience than ever before. On the other hand, customers are still skeptical about online shopping through these digital assistants. In this research paper the researcher will

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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 ben

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Sonawane, Prasad R. "Nexmind." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41910.

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This paper presents NextMind, an AI-driven interactive system designed to provide human-like companionship through three AI models: Girlfriend AI, Doppelgänger AI, and Friend AI. These models serve distinct purposes: the Girlfriend AI simulates real relationships with human-like interaction, requiring users to build and maintain engagement; the Doppelgänger AI acts as a personal memory assistant, recalling past conversations and experiences for a seamless, personalized experience; and the Friend AI functions as a problem-solving assistant akin to ChatGPT. The NextMind system utilizes Natural L

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GREESHMANTH, DHANIMIREEDI, and M. BALA NAGA BHUSHANAMU. "Voicebridge: An AI-Based Multi-Modal Voice Assistant Using Whisper, GTTS and GPT." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 07 (2025): 1–9. https://doi.org/10.55041/ijsrem51626.

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In recent years, voice assistants have emerged as powerful tools for enabling human-machine interaction through natural spoken language. These systems, powered by advances in artificial intelligence and speech processing, offer users the convenience of hands-free control, instant information retrieval, and intelligent dialogue management. However, many existing voice assistants are highly dependent on cloud infrastructure and continuous internet access, limiting their functionality in rural or offline scenarios. This project introduces VoiceBridge, a multi-modal AI-powered voice assistant that

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Aher, Sakshi Bhaulal. "INTELLIGENT PERSONAL MEMORY ASSISTANT." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03380.

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ABSTRACT: The growing need for personalized digital assistants has led to the development of systems that can effectively store, process, and retrieve user-specific data through natural language interactions. This paper introduces a Personal Memory Assistant (PMA), designed to handle both voice and text inputs, enabling users to store queries and retrieve relevant information when required. The system incorporates a range of Natural Language Processing (NLP) methods, such as tokenization, stopword removal, and Term Frequency-Inverse Document Frequency (TF-IDF), to efficiently analyze and inter

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Sushil R. Mishra, Anjali K. Ingle, and Dr. Avinash S. Kapse. "Performance of Voice-Based Personalized AI Assistant using Python and JavaScript." International Journal of Scientific Research in Science and Technology 12, no. 2 (2025): 1201–7. https://doi.org/10.32628/ijsrst251222677.

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This paper details the design, development, and deployment of Vaani, a voice-activated AI personal assistant focused on local-first data handling and user privacy. Building upon the initial design concepts, this work presents concrete implementation results of Vaani's core features, including real-time voice recognition, personalized response behavior, and integration with smart home devices, all achieved without reliance on cloud-based storage or third-party APIs for data persistence. A proprietary local database architecture was developed to ensure zero data leakage, enabling full user contr

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Sri, Lakshmi Talasila, Kumari R. Vijaya, and Kumar P. L. N. Prakash. "Intelligent personal assistants: A brief overview." i-manager's Journal on Augmented & Virtual Reality 1, no. 1 (2023): 32. http://dx.doi.org/10.26634/javr.1.1.19248.

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Intelligent Personal Assistants (IPA), also known as virtual or digital assistants, are software programs that utilize Artificial Intelligence (AI) and Natural Language Processing (NLP) to perform a wide range of tasks and services for users. This study provides an overview of Intelligent Personal Assistants, their capabilities, and their impact on human life. IPAs can be accessed through various devices such as smartphones, smart speakers, and smart displays, and can be activated through voice commands or graphical interfaces. The key advantage of intelligent personal assistants is their abil

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Journal, ISJEM. "A Literature Survey on Personalized AI-Based Voice Assistant for Authentication." International Scientific Journal of Engineering and Management 02, no. 12 (2023): 1–12. http://dx.doi.org/10.55041/isjem01329.

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This literature review critically examines the evolving landscape of personalized AI-based voice assistants in the realm of authentication services, The review begins with an exploration of the development and nuanced functionalities of voice recognition technologies, emphasizing their integration in multi-factor authentication systems. It delves into the synergistic relationship between voice and facial recognition technologies, highlighting advancements and challenges in biometric authentication, including accuracy, user experience, and security vulnerabilities.A significant focus is placed

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Gaurav, Kumar Sinha. "Data Analytics-Powered Chatbots and Virtual Assistants for Enhancing Customer Support in Oil & Gas Retail Operations." European Journal of Advances in Engineering and Technology 8, no. 2 (2021): 78–96. https://doi.org/10.5281/zenodo.12771221.

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The oil and gas retail industry faces increasing challenges in providing efficient and effective customer support due to the complexity of operations and the growing expectations of consumers. This paper explores the potential of data analytics-powered chatbots and virtual assistants in enhancing customer support within the oil and gas retail sector. By leveraging advanced natural language processing (NLP) techniques and machine learning algorithms, these intelligent systems can offer personalized and real-time assistance to customers, addressing their queries and concerns promptly and accurat

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Davis, Courtney R., Karen J. Murphy, Rachel G. Curtis, and Carol A. Maher. "A Process Evaluation Examining the Performance, Adherence, and Acceptability of a Physical Activity and Diet Artificial Intelligence Virtual Health Assistant." International Journal of Environmental Research and Public Health 17, no. 23 (2020): 9137. http://dx.doi.org/10.3390/ijerph17239137.

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Artificial intelligence virtual health assistants are a promising emerging technology. This study is a process evaluation of a 12-week pilot physical activity and diet program delivered by virtual assistant “Paola”. This single-arm repeated measures study (n = 28, aged 45–75 years) was evaluated on technical performance (accuracy of conversational exchanges), engagement (number of weekly check-ins completed), adherence (percentage of step goal and recommended food servings), and user feedback. Paola correctly asked scripted questions and responded to participants during the check-ins 97% and 9

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Curtis, Rachel G., Bethany Bartel, Ty Ferguson, et al. "Improving User Experience of Virtual Health Assistants: Scoping Review." Journal of Medical Internet Research 23, no. 12 (2021): e31737. http://dx.doi.org/10.2196/31737.

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Background Virtual assistants can be used to deliver innovative health programs that provide appealing, personalized, and convenient health advice and support at scale and low cost. Design characteristics that influence the look and feel of the virtual assistant, such as visual appearance or language features, may significantly influence users’ experience and engagement with the assistant. Objective This scoping review aims to provide an overview of the experimental research examining how design characteristics of virtual health assistants affect user experience, summarize research findings of

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Masrek, Mohamad Noorman, Tri Susantari, Fitri Mutia, Helmi Prasetyo Yuwinanto, and Ragil Tri Atmi. "Enabling Education Everywhere: How artificial intelligence empowers ubiquitous and lifelong learning." Environment-Behaviour Proceedings Journal 9, SI18 (2024): 57–63. http://dx.doi.org/10.21834/e-bpj.v9isi18.5462.

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This article explores the complex interplay between Artificial Intelligence (AI), ubiquitous learning, and lifelong learning. Drawing upon in-depth analysis of pertinent literature, it elucidates the ways in which AI can bolster ubiquitous and lifelong learning in terms of personalized learning, continuous accessibility, adaptive content delivery, instant feedback and assessment, Natural Language Processing, data-driven insights, assistance and support, personal learning assistants, tailored learning resources and efficient time management. It also highlights the pre-requisite of harnessing AI

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Boltaboyeva, Assiya, Zhanel Baigarayeva, Baglan Imanbek, et al. "A Review of Innovative Medical Rehabilitation Systems with Scalable AI-Assisted Platforms for Sensor-Based Recovery Monitoring." Applied Sciences 15, no. 12 (2025): 6840. https://doi.org/10.3390/app15126840.

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Artificial intelligence (AI) and machine learning (ML) have introduced new approaches to medical rehabilitation. These technological advances facilitate the development of large-scale adaptive rehabilitation platforms that can be tailored to individual patients. This review focuses on key technologies, including AI-driven rehabilitation planning, IoT-based patient monitoring, and Large Language Model (LLM)-powered virtual assistants for patient support. This review analyzes existing systems and examines how technologies can be combined to create comprehensive rehabilitation platforms that prov

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Shakhnoza, Mamatova Hoshim qizi. "THE ROLE OF AI IN TECHING: ADVANTAGES, DISADVANTAGES, AND FUTURE IMPLICATIONS." JOURNAL OF UNIVERSAL SCIENCE RESEARCH 1, no. 12 (2023): 713–19. https://doi.org/10.5281/zenodo.10437791.

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Artificial Intelligence (AI) has the potential to revolutionize education by enhancing the learning experience for students and supporting teachers in their instructional practices. By leveraging AI methods such as intelligent tutoring systems, virtual assistants, and data analytics, classrooms can become more personalized, engaging, and efficient. Students benefit from personalized learning pathways, adaptive feedback, and collaborative opportunities, leading to improved comprehension, critical thinking skills, and self-directed learning. Teachers, on the other hand, can automate administrati

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Kizi, Chorshanbieva Sarvinoz Berdimurod. "SMART SHOPPING ASSISTANTS: HOW GUIDE ROBOTS IMPROVE CUSTOMER EXPERIENCE IN LARGE MALLS." European International Journal of Multidisciplinary Research and Management Studies 4, no. 11 (2024): 26–32. http://dx.doi.org/10.55640/eijmrms-04-11-05.

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The Shopping Guide Robot System is a cutting-edge solution designed to enhance the customer experience in large shopping malls and commercial spaces. This system provides real-time route guidance to help customers quickly locate their desired stores by calculating the shortest path. It offers personalized recommendations based on customer profiles, adjusts dynamically to environmental changes, and supports multilingual communication to cater to diverse clientele. The robot not only guides users to their destinations but also answers inquiries about mall events, discounts, restaurants, and othe

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Iapăscurtă, Victor, Dinu Țurcanu, and Rodica Siminiuc. "INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY." JOURNAL OF ENGINEERING SCIENCE 31, no. 3 (2024): 75–84. https://doi.org/10.52326/jes.utm.2024.31(3).07.

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In the realm of health and wellness, the integration of data-driven technology and artificial intelligence (AI) has opened up new possibilities for personalized and data-driven approaches. HN-Assistant, a software application designed to analyze an individual's nutritional state and provide tailored recommendations, offers a powerful tool for promoting healthy eating habits. The HN-Assistant can also analyze how good a food product is at covering the estimated nutrient requirements. However, when combined with the capabilities of advanced AI assistants based on LLMs, the potential for comprehe

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Iapăscurtă, Victor, Dinu Țurcanu, and Rodica Siminiuc. "Integration of a data-driven software application and a multimodal large language model for enhanced nutritional guidance: a case study." Journal of Engineering Science 31, no. 3 (2024): 75–84. https://doi.org/10.52326/jes.utm.2024.31(3).07.

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In the realm of health and wellness, the integration of data-driven technology and artificial intelligence (AI) has opened up new possibilities for personalized and data-driven approaches. HN-Assistant, a software application designed to analyze an individual's nutritional state and provide tailored recommendations, offers a powerful tool for promoting healthy eating habits. The HN-Assistant can also analyze how good a food product is at covering the estimated nutrient requirements. However, when combined with the capabilities of advanced AI assistants based on LLMs, the potential for comprehe

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Haritha, C. K. Asma Shaikh* Varun Gadia Arina Mullick. "Enhancing Patient Care With AI Chatbots And Virtual Assistants." International Journal in Pharmaceutical Sciences 2, no. 2 (2024): 10–13. https://doi.org/10.5281/zenodo.10603065.

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In recent years, the healthcare industry has witnessed a revolutionary transformation with the integration of artificial intelligence (AI) technologies, particularly AI chatbots and virtual assistants. Design characteristics play a crucial role in optimizing user experience, as highlighted by insights from experimental research. Hidoc Dr, a key player in AI-driven healthcare, exemplifies the transformative potential of AI solutions, notably through its innovative Dr's Chatbot. The article discusses AI chatbots pivotal role in patient engagement, administrative efficiency, personalized health i

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Wallin, Anneli Orrung, Ulf Jakobsson, and Anna-Karin Edberg. "Job satisfaction and associated variables among nurse assistants working in residential care." International Psychogeriatrics 24, no. 12 (2012): 1904–18. http://dx.doi.org/10.1017/s1041610212001159.

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ABSTRACTBackground: While the work situation for nurse assistants in residential care is strenuous, they themselves often state that they are satisfied with their job. More knowledge is clearly needed of the interrelationship of variables associated with job satisfaction. This study aims to investigate job satisfaction and explore associated variables among nurse assistants working in residential care.Methods: A total of 225 respondents completed a questionnaire measuring general job satisfaction, satisfaction with nursing-care provision and measures concerning person-centered care, work clima

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Aditi M Jain. "Enhancing E-Commerce Accessibility with AI-Powered Chatbots: Integrating Accessibility Tools and Navigation Assistants." Journal of Information Systems Engineering and Management 10, no. 15s (2025): 797–809. https://doi.org/10.52783/jisem.v10i15s.2522.

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This paper explores the integration of AI-powered accessibility tools and navigation assistants within a chatbot to enhance the accessibility of e-commerce websites. Despite advancements in AI, users with disabilities still face significant barriers on online shopping platforms, particularly in the areas of alt text generation and video captioning. We evaluated the effectiveness of the Google Vision API for alt text and the Whisper API for video captions in addressing common accessibility issues. Our experimental results indicate substantial improvements in video captioning, though alt text ge

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Kim, Sungho, Soyoung Jang, Seungwon Kim, et al. "https://aircconline.com/ijgca/V16N2/16225ijgca02.pdf." International Journal of Grid Computing & Applications 16, no. 2 (2025): 5–23. https://doi.org/10.5121/ijgca.2025.16202.

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AI-driven chatbots and virtual assistants have revolutionized human-computer interaction across various industries, including customer service, healthcare, e-commerce, and finance. These intelligent systems leverage natural language processing (NLP), machine learning (ML), and deep learning techniques to understand user intent, provide personalized responses, and automate routine tasks. Recent advancements in AI have significantly enhanced chatbot capabilities, enabling more human-like conversations and improved decision-making. Despite their growing adoption, challenges such as data privacy c

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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

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Deepthi, P., and A. Likhitha. "Aurora – Revolutionizing Human-AI Interaction – “Hey Luna”." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44587.

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In the rapidly evolving world of artificial intelligence, voice assistants have become a pivotal element of human-computer interaction. Aurora is an intelligent AI-powered voice assistant designed to deliver a personalized and interactive experience by combining emotion detection, facial recognition, chatbot integration, and mobile automation. Utilizing machine learning algorithms like LBPH for facial recognition and neural networks for emotion-based music recommendation, Aurora adapts its responses based on the user's mood and commands. The assistant is equipped with hot word detection, Whats

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S, Keerthi. "Voice-Activated E-commerce: Revolutionizing Shopping Experiences with Personalization and Seamless Integration." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 2563–69. http://dx.doi.org/10.22214/ijraset.2024.59407.

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Abstract: In today's rapidly evolving landscape, voice technology has emerged as a transformative force reshaping the way consumers interact with e-commerce platforms. This exploration delves into the progression of commerce experiences facilitated by voice technology, emphasizing the integration of personalized recommendations, voice-enabled payments, and seamless compatibility with e-commerce platforms. The forefront of this evolution lies in the integration of personalized recommendations. Leveraging advanced algorithms and artificial intelligence, voice-enabled shopping assistants can prov

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Surovková, Jana, Sára Haluzová, Martin Strunga, Renáta Urban, Michaela Lifková, and Andrej Thurzo. "The New Role of the Dental Assistant and Nurse in the Age of Advanced Artificial Intelligence in Telehealth Orthodontic Care with Dental Monitoring: Preliminary Report." Applied Sciences 13, no. 8 (2023): 5212. http://dx.doi.org/10.3390/app13085212.

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This paper explores the impact of Artificial Intelligence (AI) on the role of dental assistants and nurses in orthodontic practices, as there is a gap in understanding the currently evolving impact on orthodontic treatment workflows. The introduction of AI-language models such as ChatGPT 4 is changing patient-office communication and transforming the role of orthodontic nurses. Teledentistry is now heavily reliant on AI implementation in orthodontics. This paper presents the proof of a novel concept: an AI-powered orthodontic workflow that provides new responsibilities for an orthodontic nurse

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Ameya Gokhale. "Autonomous AI Agents in Online Retail: The Next Leap in Programmatic Media Buying." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2713–22. https://doi.org/10.32628/cseit25112732.

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The retail industry stands at the brink of transformation driven by autonomous AI agents that will redefine shopping experiences, optimize advertising strategies, and streamline seller onboarding. AI agents will be personalized shopping assistants, intelligent advertising optimizers, and automated seller support systems, creating a seamless and highly efficient retail ecosystem. This technological evolution will personalize consumer interactions, automate advertising campaign management, and lower entry barriers for sellers, making e-commerce more accessible and profitable for all stakeholders

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GODOY, DANIELA, and ANALIA AMANDI. "User profiling in personal information agents: a survey." Knowledge Engineering Review 20, no. 4 (2005): 329–61. http://dx.doi.org/10.1017/s0269888906000397.

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Personal information agents have emerged in the last decade to help users to cope with the increasing amount of information available on the Internet. These agents are intelligent assistants that perform several information-related tasks such as finding, filtering and monitoring relevant information on behalf of users or communities of users. In order to provide personalized assistance, personal agents rely on representations of user information interests and preferences contained in user profiles. In this paper, we present a summary of the state-of-the-art in user profiling in the context of

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