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Journal articles on the topic 'AI-system'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Sakr, Mohamed. "AI-Tutor system." Journal of the ACS Advances in Computer Science 16, no. 1 (2025): 0. https://doi.org/10.21608/asc.2025.431303.

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Reddy, V. R. Shushma, K. Yuva Sahithya Preethi, T. Mounika, and Nisba Kousar. "AI based IT Training System." International Journal of Research Publication and Reviews 6, no. 4 (2025): 11291–94. https://doi.org/10.55248/gengpi.6.0425.15133.

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Arjun, Mr C. M., and Mrs Dr A. Kanimozhi. "AI Based Pharmacy Monitoring System." International Journal of Research Publication and Reviews 6, no. 2 (2025): 1533–36. https://doi.org/10.55248/gengpi.6.0225.0759.

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Kumari, Sanjana, Surabhi Sharma, and Sampada Massey. "Mindbody AI :AI-Based Real-Time Exercise and Gesture Recognition System." International Journal of Research Publication and Reviews 6, no. 4 (2025): 11788–93. https://doi.org/10.55248/gengpi.6.0425.15153.

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Zhou, Fanyi. "AI System Report: Hirevue’s AI-Driven Assessment Tool." Innovation in Science and Technology 3, no. 4 (2024): 109–12. http://dx.doi.org/10.56397/ist.2024.07.11.

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Hirevue, a leading technology company in human resources, utilizes AI to optimize recruitment processes through its sophisticated assessment platform. This platform employs machine learning to analyze video interviews, evaluating both verbal and non-verbal cues to predict candidates’ traits and competencies. Continuous algorithmic enhancements, including the integration of advanced technologies such as RoBERTa for NLP, highlight Hirevue’s dedication to accuracy and fairness in candidate evaluations. The system is designed to streamline recruitment, enhance hiring quality, and boost efficiency,

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Atole, Hruturaj. "Capit-AI: An AI driven Financial Advisory System." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5124–36. https://doi.org/10.22214/ijraset.2025.69398.

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AI-driven financial advisory systems are transforming investment planning, tax optimization, and financial literacy by automating key decision-making processes. Capit-AI is an intelligent AI-powered financial advisor that integrates machine learning (ML), Natural Language Processing (NLP), and automation to assist users in managing mutual funds, stocks, tax saving strategies, and real-time expense tracking. The system consists of multiple AI agents, including a Web Agent, Finance Agent, Mutual Fund Agent, and Tax Agent, to provide personalized financial insights. Capit-AI overcomes traditional

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Jung, In Hwan, Jae Moon Lee, and Kitae Hwang. "Smart Parking Management System Using AI." Webology 19, no. 1 (2022): 4629–38. http://dx.doi.org/10.14704/web/v19i1/web19307.

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This paper is aimed to introduce a smart parking lot management system using multiple cameras and artificial intelligence technique. When a vehicle enters a parking lot, it recognizes the vehicle number using embedded camera, tracks which parking space the vehicle is parked in, and updates parking space information. In addition, using a surveillance camera images, it has been also implemented to detect collision accidents that may occur while the vehicle is moving in the parking lot. Vehicle number recognition system uses OCR technique and is implemented on a Raspberry system. By managing the

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Koshiishi, Ryuta. "AI Auto Depalletizing System." JAPAN TAPPI JOURNAL 72, no. 10 (2018): 1136–38. http://dx.doi.org/10.2524/jtappij.72.1136.

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ATTA Ltd. and ACI. "Breakthrough AI training system." Knowledge-Based Systems 1, no. 2 (1988): 122. http://dx.doi.org/10.1016/0950-7051(88)90009-3.

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Kuyate, Swapnil, Omdeep Jadhav, and Pratik Jadhav. "AI Text Summarization System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 916–19. http://dx.doi.org/10.22214/ijraset.2023.51481.

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Abstract: Our research paper presents an AI text summarization system that utilizes GPT, a powerful language model, to generate concise and meaningful summaries of lengthy text documents. The system consists of four modules: User, Android Application, GPT API, and GPT server. The User interacts with the system through the Android Application, which serves as the user interface. The GPT API acts as the intermediary between the Android Application and the GPT server, which hosts the GPT model and handles the text summarization process. The system employs state-of-the-art natural language process

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A, Ramshad. "AI Fashion Recommendation System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42713.

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A recommender system suggests items based on user preferences, and deep learning enhances its accuracy by handling large datasets efficiently. As online shopping grows, retailers seek intelligent methods to recommend clothing tailored to user interests, boosting sales. We propose an AI-powered, content-based fashion recommendation system using deep neural networks. Unlike traditional methods requiring manual feature extraction, our system automatically identifies product features, including clothing categories, streamlining the process. It also integrates gender classification to refine recomm

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Ashwini Kadam, Pratik Pawar, Prachi Pawar, Revati Pandit, Ankita Phalke, and Sanjana Jagadale. "AI Powered Recruitment System." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 07 (2025): 3203–8. https://doi.org/10.47392/irjaeh.2025.0471.

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Artificial intelligence in recruitment provides a revolutionary answer in today's cutthroat hiring environment. An AI-Powered Recruitment System that was created in two organized stages is presented in this study. Phase 1 creates an HR dashboard and user-friendly frontend that facilitates resume uploads, candidate management, and job postings. AI-driven automation for resume parsing, aptitude test assessment, group discussion scheduling, and interview coordination is introduced in Phase 2. The solution improves the candidate experience and recruiter control by integrating real-time notificatio

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Hon, Hsiao-Wuen. "AI for System - Infusing AI into Cloud Computing Systems." ACM SIGMETRICS Performance Evaluation Review 49, no. 1 (2022): 39–40. http://dx.doi.org/10.1145/3543516.3453911.

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In the past fifteen years, the most significant paradigm shift in the computing industry is the migration to cloud computing, which brings unprecedented opportunities of digital transformation to business, society, and human life. The implication of this is profound. It means that cloud computing platforms have become part of the basic infrastructure of the world. Therefore, the non-functional properties of cloud computing platforms, including availability, reliability, performance, efficiency, security, sustainability, etc., become immensely important. The distributed nature, massive scale, a

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Varghese, Sajan, and Sindhu Daneil. "Voice Craft AI: An AI-Powered System for Multilingual Dubbing and Lip-Syncing." International Journal of Science and Research (IJSR) 14, no. 4 (2025): 2338–41. https://doi.org/10.21275/sr25425110014.

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Bolkeny, Ildiko, and Viktor Fuvesi. "AI based predictive detection system." Pollack Periodica 13, no. 2 (2018): 137–46. http://dx.doi.org/10.1556/606.2018.13.2.14.

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Keerthana, T., K. Kaviya, S. Deepthi Priya, and A. Suresh Kumar. "AI enabled smart surveillance system." Journal of Physics: Conference Series 1916, no. 1 (2021): 012034. http://dx.doi.org/10.1088/1742-6596/1916/1/012034.

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Gawande, Prashant. "AI Multi Agent Shopping System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 424–25. http://dx.doi.org/10.22214/ijraset.2021.34934.

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The aim of "Ai multi agent Shopping system" helps the user to search products and compare the price of the particular product and shows the least price of the product. Nowadays e-shopping systems use the Internet as its primary medium for transactions. E-shopping has grown in popularity over the years, mainly because people find it easy to buy number of products comfortably from their places. This technology is used to improve the customer’s needs which include faster response time. Agent for e-Shopping creates connectivity on an anytime-anywhere & any basis to provide the specific product

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S, Yaswanthraj, Mohithra S, Pavithra Kumar Nadar, and Shakthi S. "AI-BASED OUTFIT RECOMMENDATION SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–4. https://doi.org/10.55041/ijsrem40067.

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The expanding request for personalized online shopping encounters has driven the advancement of cleverly proposal frameworks custom-made to person client inclinations. Within the design industry, a customized approach to styling proposals upgrades client fulfillment and shopping effectiveness by proposing outfits and adornments that adjust with each user's interesting characteristics, such as body shape, skin tone, stature, and fashion inclinations. In any case, conveying precise personalized proposals is challenging due to the subjective and complex nature of design, requiring a nuanced under

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Ms. Harshada Vijay Mandlik and Ms. Vaishnavi Tukaram Dorik. "AI Based Smart Supervision System." International Journal of Latest Technology in Engineering Management & Applied Science 13, no. 8 (2024): 65–69. http://dx.doi.org/10.51583/ijltemas.2024.130808.

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Abstract: The integrity and fairness of examinations are continually compromised by deceptive practices such as whispering, head movements, and unauthorized hand contacts. These unethical activities pose a serious threat to the credibility of examinations, necessitating the development of a robust model for real-time supervision and control. This research aims to introduce an innovative model designed to detect and prevent such unethical behaviour during examinations, there by upholding the principles of fairness and impartiality. The suggested monitoring system can be used in colleges, univer

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Bhopale, Pranita Pravin, Tejas Pankaj Patil, Devesh Ravindra Choudhari, and Bhavana Zambare. "AI-HealthCare Chat-Bot System." International Journal of Innovations in Engineering and Science 9, no. 4 (2024): 30–34. http://dx.doi.org/10.46335/ijies.2024.9.4.6.

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Crawford, Kate, and Vladan Joler. "Anatomy of an AI System." Virtual Creativity 9, no. 1 (2019): 117–20. http://dx.doi.org/10.1386/vcr_00008_7.

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Jia Yu, Tew, Chin Poo Lee, Kian Ming Lim, and Siti Fatimah Abdul Razak. "AI-based targeted advertising system." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (2019): 787. http://dx.doi.org/10.11591/ijeecs.v13.i2.pp787-793.

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<span>The most common technology used in targeted advertising is facial recognition and vehicle recognition. Even though there are existing systems serving for the targeting purposes, most propose limited functionalities and the system performance is normally unknown. This paper presents an intelligent targeted advertising system with multiple functionalities, namely facial recognition for gender and age, vehicle recognition, and multiple object detection. The main purpose is to improve the effectiveness of outdoor advertising through biometrics approaches and machine learning technology

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Gopinath, S., S. Pragadeswaran, P. Subaranjani, R. Mounitha, and N. Parameshwari. "Ai Based Dual Authentication System." 4 2, no. 4 (2022): 158–62. http://dx.doi.org/10.46632/daai/2/4/29.

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Artificial intelligence (AI) has demonstrated huge potential in a various real-world applications. However, some significant considerations like fairness, transparency and trustworthiness are still challenging when applying AI to trust-oriented applications such as E-voting. In this project, we aim to facilitate the consolidation of AI ecosystems by developing a blockchain-based traceable self-tallying E-voting system. The proposed system presents a novel voting system by using Fingerprint of Aadhar card. In E-voting system an voter can vote from anywhere as there will be two or more levels of

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Li, Eric. "AI in Video Recommendation System." Highlights in Science, Engineering and Technology 35 (April 11, 2023): 280–85. http://dx.doi.org/10.54097/hset.v35i.7214.

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Short videos are very popular all over the world. Video recommendation system is an essential part in it. It can help people to watch the video that they are interested in. This paper is written for study the specific principle of the video recommendation system. The result was getting through relative literatures and actual test. Short video recommendation systems typically use collaborative filtering and deep learning techniques to achieve this. Collaborative filtering comes in two types: user-based and content-based. User-based collaborative filtering recommends videos to new users based on

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Sharma, Anubhav, Shikhar Srivastava, Vinay Kanaujiya, Uttam Kumar, Tushar Gupta, and Vaibhav Tyagi. "AI Based Virtual Mouse System." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 165–72. http://dx.doi.org/10.22214/ijraset.2023.49381.

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Abstract: One of the marvels of Human-Computer Interaction (HCI) technology is the mouse.Since a wireless mouse or Bluetooth mouse still need a battery for power and a dongle to connect it to the PC, they are not entirely device-free at this time.In the modern era of invention, a remote mouse or a contact-less mouse still uses gadgets and isn't entirely free of them because they use power from the gadget or, occasionally, from external power sources like batteries and take up more space and electricity.Without using a real mouse, the computer can be virtually controlled using hand gestures to

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Valarmathi.E, Valarmathi E., Aswin Gladsingh.R, Balajee V. Balajee.V, and Pratheep S. Pratheep.S. "AI-Chronic Disease Suggestion System." International Journal of Advanced Engineering, Management and Science 9, no. 2 (2023): 01–06. http://dx.doi.org/10.22161/ijaems.92.1.

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The core of artificial intelligence is certification. It demonstrates a productive method for resolving urgent issues, and it denotes how to approach a dataset. For speedier access and seamless client service, we integrate artificial intelligence into our concept. Tensor-flow is used in its development to accelerate activities and automate data collection. Our module is standardised using a standard scaler. Cross-validation is done using the grid-search CV approach. The random-forest algorithm is the algorithm that we defined here. We reduce processing time while increasing usability adaptabil

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B.S., Prof Biradar. "AI HealthCare Chat Bot System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29592.

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Through chatbots one can communicate with text or voice interface and get reply through artificial intelligence. Typically, a chat bot will communicate with a real person Chatbots are programs built to automatically engage with received messages. Chatbots can be programmed to respond the same way each time, to respond differently to messages containing certain keywords and even to use machine learning to adapt their responses to fit the situation. This healthcare chatbot system will help hospitals to provide healthcare support online 24 x 7, it answers deep as well as general questions. It als

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Farhat, Syeda Lamima, Likhitha Tubati, Metrine Osiemo, and Rushit Dave. "AI-Based Home Security System." International Journal of Computer Science and Information Technology 16, no. 2 (2024): 37–42. http://dx.doi.org/10.5121/ijcsit.2024.16204.

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Home security is of paramount importance in today's world, where we rely more on technology, home security is crucial. Using technology to make homes safer and easier to control from anywhere is important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost, AI based model home security system. The system has a user-friendly interface, allowing users to start model training and face detection with simple keyboard commands. Our goal is to introduce an innovative home security system using facial recognition technology. Unlike traditional systems, this

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Mohanty, Rajinikanth. "Medication Recommendation System Using AI." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 704–8. http://dx.doi.org/10.22214/ijraset.2024.61642.

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Abstract: In an era marked by the convergence of personal and technical facets of life, the need for a versatile and intelligent companion becomes increasingly apparent. This project introduces the development of a novel Chatbot, aptly named the "Personal and Technical Companion," designed to seamlessly integrate into users' lives by offering personalized support and technical assistance. The Chatbot employs state-of-the-art Natural Language Processing (NLP) techniques to engage users in natural language conversations, providing a unique blend of personal and technical guidance. The system arc

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Prashant Kaushik, Aditya Kumar Singh, Ajay Kumar, Ms. Nikita Verma, and Mr. Arun Kumar Rai. "Online Auction System with AI." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 02 (2024): 124–27. http://dx.doi.org/10.47392/irjaeh.2024.0023.

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An online auction is type of an auction that takes place over the Internet. It is a popular method for buying and selling products and services. Such systems give the best price to the seller as well as the buyers. The application proposed in this paper was developed with the objective of making the system reliable, easier and fast. Through this application, anyone can sell anything on the website by sitting at home. It’s as easy as browsing the app website. Even non-technical persons can easily interact with the process of buying and selling on the application. An online auction system permit

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Dr. T.S. Ghouse Basha, Dr T. S. Ghouse Basha. "Poultry AI camera watchdog system." Journal of Science and Technology 9, no. 1 (2024): 170–77. http://dx.doi.org/10.46243/jst.2024.v9.i01.pp170-177.

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32

Ashna, Lakshmanan, S. Nambiar Sangeerth, Parvin M. Nasariya, Dharman M. K. Nikhil, and Sanya. "AI Powered Disaster Management System." International Journal of Innovative Science and Research Technology 8, no. 4 (2023): 1954–56. https://doi.org/10.5281/zenodo.7922907.

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Disasters or hazards have the potential to cause catastrophic damage and significant socioeconomic loss. The year 2022 has been recorded as the eighth consecutive year with 10 or more billion-dollar weather or climate related disasters. As a result, an AI powered Disaster Management system is developed. It aims to strengthen disaster mitigation strategies using AI technology. It helps in detecting and preparing for the extreme weather and other hazards, and also to communicate to people and communities effectively about the necessary response. AI helps response teams to understand the hazards

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Yu, Tew Jia, Chin Poo Lee, Kian Ming Lim, and Siti Fatimah Abdul Razak. "AI-based targeted advertising system." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (2019): 787–93. https://doi.org/10.11591/ijeecs.v13.i2.pp787-793.

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The most common technology used in targeted advertising is facial recognition and vehicle recognition. Even though there are existing systems serving for the targeting purposes, most propose limited functionalities and the system performance is normally unknown. This paper presents an intelligent targeted advertising system with multiple functionalities, namely facial recognition for gender and age, vehicle recognition, and multiple object detection. The main purpose is to improve the effectiveness of outdoor advertising through biometrics approaches and machine learning technology. Machine le

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Jamilu, Sulaiman, and H. M. Abdul Majeed. "Smart Agricultural System Using AI." Global Journal of Research in Engineering & Computer Sciences 2, no. 5 (2022): 19–24. https://doi.org/10.5281/zenodo.7272213.

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For many years, crop diseases have been among the major threats to food security, but their rapid identification remains difficult in many parts of the world due to a lack of necessary infrastructure. The purpose of this work is to develop a smart agricultural system that monitors the crops' diseases and suggests remedies for those diseases to the farmers using a deep learning algorithm called MobileNet. The system will work efficiently on smartphones and autonomous systems in real-time.  

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Sivaramakrishnan P, Sivaramakrishnan P., Naveena Sree K, Gokulakrishnan D. Gokulakrishnan D, and W. Rose Varuna. "AI - Empowered HbA1c Management System." Journal of Neonatal Surgery 14, no. 12S (2025): 1020–25. https://doi.org/10.52783/jns.v14.3465.

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Hemoglobin A1c (HbA1c) is an excellent biomarker that reflects average three-month blood glucose and is of greatest benefit in evaluating control of blood glucose. The system described combines sensor-wearable, continuous glucose monitor, electronic medical records, and patient manual reports. The AI-driven HbA1c Monitoring and Management System is a new diabetes management paradigm attained through the advanced use of Artificial Intelligence (AI) and Machine Learning (ML). The most critical algorithmic components are Liner Regression, Random Forest, Gradient Boosting Machines (GBM), and Long

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Naveen, B. "AI Enabled Energy Storage System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45319.

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The escalating demand for efficient energy storage solutions has led to the development of advanced battery systems. Effective management of these systems is crucial for optimal performance, longevity, and safety. Traditional rule-based methods often fall short in adapting to the dynamic and complex behavior of batteries. This paper presents an AI-enabled energy storage system that utilizes reinforcement learning to address these limitations. The system employs the Q-learning algorithm to learn optimal charging and discharging policies based on real-time battery data, including voltage, temper

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Khan, Sufiyan. "Smart AI Garbage Management System." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 7196–99. https://doi.org/10.22214/ijraset.2025.70063.

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Abstract: The Smart AI Garbage Management System is an Al-driven web application designed to enhance urban waste management by fostering community involvement and leveraging technology. Citizens can report garbage in their surroundings by uploading images, which are sent to the Municipal Council along with metadata like location and timestamp. Al analyzes these images to identify waste patterns and optimize cleaning efforts. Within 30-40 minutes, municipal workers clean the area and upload "before-and-after" images to the platform for transparency. A unique feature of the system is its persona

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Kokate, Prof Rohan B. "AI Health Task Management System." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 6416–22. https://doi.org/10.22214/ijraset.2025.71717.

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Abstract: The "challenge control machine with AI" is an revolutionary answer designed to streamline and decorate the performance of undertaking management for people and companies. In brand new fast-paced world, powerful time management isvital, and this device targets to empower customers to prioritize responsibilities intelligently. The machine incorporates an AI-primarily based mechanism that takes into account different factors, including closing dates, significance, and person-described urgency tiers. Leveraging system mastering, the AI model learns from ancient undertaking statistics to

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Begum, Mrs Md Jareena. "AI-Powered Visual Navigation System." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5473–77. https://doi.org/10.22214/ijraset.2025.69504.

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The Augmented Reality (AR) Navigation System for Visually Impaired Individuals aims to enhance their ability to move independently in unfamiliar environments. Using a mobile device's camera, the system captures real-time images, processes them to identify objects. Users interact with the system through voice commands, enabling hands-free operation, while synthesized speech delivers navigation instructions and object descriptions. This approach helps visually impaired individuals by offering real-time, on-demand access to visual information, improving their mobility and independence. The system

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Shaikh, Umar. "AI-Based Healthcare Chatbot System." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5510–13. https://doi.org/10.22214/ijraset.2025.69526.

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This healthcare chatbot, powered by artificial intelligence, is built to reduce the communication gap between patients and healthcare professionals, particularly in regions with limited access to medical services. It delivers quick responses for medical queries, supports in urgent scenarios, and offers mental wellness assistance. The integration of natural language processing (NLP) allows individuals to express their health concerns in their native language, improving the clarity of symptom interpretation and enabling customized medical suggestions. Furthermore, the system helps users schedule

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Sandeep Kulkarni, Prathmesh Rahul kurumkar, Vansh Sanjeev Kadam, and Vinut Prabhu Maradur. "AI-powered resume screening system." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 2263–77. https://doi.org/10.30574/wjaets.2025.15.1.0413.

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The advent of artificial intelligence (AI) has revolutionized talent acquisition through the development of AI-powered resume screening systems. These advanced tools utilize machine learning, natural language processing and data analytics to automate the initial evaluation of job applicants’ resumes, significantly enhancing the efficiency and objectivity of the hiring process. By analyzing key elements such as skills, experience, education and job-specific keywords, these systems filter and rank candidates, delivering a shortlist of top matches to recruiters. This technology reduces manual eff

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K S, Nikhil. "AI-Powered Legal Documentation System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47956.

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Abstract- The increasing complexity and volume of legal documentation necessitate innovative solutions to enhance accuracy, efficiency, and accessibility within the legal domain. An AI-powered Legal Documentation System leverages advanced technologies such as natural language processing (NLP), machine learning, and intelligent automation to streamline the creation, review, and management of legal documents. This system is designed to assist legal professionals in generating contracts, agreements, and other legal texts with reduced time and error rates, while ensuring compliance with current la

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M, Sahana Sharma, Ankita S. Patil, Raksha H, and Sameer Singh. "Waste Management System ECOSORT -AI." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–6. https://doi.org/10.55041/ijsrem40491.

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Abstract- Efficient waste management is crucial for sustainable urban living. However, challenges such as improper segregation, low recycling rates, and reliance on manual systems hinder progress toward environmental goals. This paper introduces EcoSort AI, an AI-driven waste management solution that combines computer vision, IoT technologies, and machine learning to automate and optimize waste segregation. Leveraging convolutional neural networks (CNNs), the system identifies, classifies, and sorts waste materials into appropriate categories, ensuring improved recycling rates and reduced land

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SHRESTHA, BIBEK, Bishal Singh, Gaurav Darlami, and Nabin Upadhayaya. "AI Based Traffic Management System." International Journal of Educational Practices and Engineering(IJEPE) 2, no. 1 (2025): 1–12. https://doi.org/10.70504/ijepe.v2i1.11717.

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Background: Increased traffic flow in growing cities causes congestion, higher fuel consumption, and frequent traffic jams. Traditional traffic management systems rely heavily on traffic police and fixed traffic light controls, which lack real-time adaptability. This study addresses the need for an efficient, intelligent traffic management solution to reduce congestion and optimize vehicle flow. Objective: The main objective of this study is to develop an Artificial Intelligence (AI)-based traffic management system using YOLO algorithms to detect vehicle density and dynamically adjust traffic

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Mrs. R. Savitha, Mucheli Lahari, R.SasiKumar, S.Sri Sukitha Reddy, and R.K.ShivaaniSree. "Lung Monitoring System Using AI." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 2706–16. https://doi.org/10.32628/cseit251112282.

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The "Lung Monitoring System Using AI" project focuses on continuous health monitoring for individuals with respiratory conditions using advanced sensors and AI technologies. Integrated with an Arduino development board, the system uses various sensors, including gas and temperature sensors, to collect real-time data on lung health. The collected data is processed by machine learning algorithms to detect early signs of respiratory issues, allowing for proactive medical intervention. This system aims to enhance patient care by offering continuous, non-invasive monitoring, reducing hospital visit

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K, Sabitha. "AI-Powered Cybercrime Reporting System." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 3596–601. https://doi.org/10.22214/ijraset.2025.70702.

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Abstract:With the exponential increase in digital threats, the traditional cybercrime reporting process remains largely unstructured and inaccessible to common users.This article proposes an AI-powered cybercrime reporting system that takes advantage of natural language processing and machine learning to offer an intelligent, guided interface for victims to report incidents.The system employs a fine-tuned RoBERTa-base model to classify cybercrimes into 23 predefined categories based on user descriptions and dynamically adjusts the reporting flow to collect appropriate data. Additionally, it en

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Basha, MD Chan. "AI Based Traffic Control System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48317.

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This project explores the development of an AI-based traffic control system aimed at enhancing urban traffic management. By utilizing machine learning algorithms and real-time data from various sources, including traffic cameras, sensors, and GPS devices, the system analyzes traffic patterns and predicts congestion. We are using several AI and ML models, including Reinforcement Learning, Deep Learning, Neural Network and also Computer Vision. The integration of vehicle to infrastructure communication further enhances responsiveness, allowing for timely updates to drivers. Simulation results in

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D, Sujatha. "AI Based Fabric Inspection System." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 4866–69. https://doi.org/10.22214/ijraset.2025.71305.

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Textile industry continues to face challenges in ensuring consistent fabric quality due to its reliance on manual inspection processes. This study introduces an AI-driven automated fabric inspection system designed to detect surface defects in real time using deep learning and computer vision techniques. The system is built around a Raspberry Pi 5 platform integrated with TensorFlow and a Pi Camera module. A convolutional neural network (CNN) model processes captured images to identify defects, prompting the system to halt fabric movement and activate a pump-based liquid applicator for marking

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Shekhawat, Natansh, Krishna. R. Mohan, Sunder. P. Shyam, and Rajitha, K. "AI-powered threat detection system." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 713–20. https://doi.org/10.30574/wjaets.2025.15.3.0969.

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In an era of growing digital interconnectedness, the threat landscape for networked systems has expanded rapidly, making traditional security mechanisms increasingly ineffective against sophisticated cyber-attacks. Intrusion Detection Systems (IDS) are crucial in identifying and mitigating such threats, but conventional rule-based approaches often fail to detect novel or evolving attack patterns. This paper proposes an AI-powered IDS framework that utilizes Random Forest and Decision Tree machine learning models for high-accuracy threat detection in real time. The models are trained on benchma

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khan, Emad, MD Hafizullah, MD Saif, MD Ashraf Ansari, and Neha Kumari. "AI powered: Election voting system." International Journal of Research in Engineering and Innovation 09, no. 04 (2025): 199–204. https://doi.org/10.36037/ijrei.2025.9408.

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In democratic countries, free and fair elections are essential for representative governance. Traditional voting systems, whether manual or electronic, face challenges in security, accuracy, and efficiency. This paper proposes an AI-powered Voting System developed using Java and a relational database, focusing on secure voter authentication, intelligent vote management, and automated result processing. The system integrates AI concepts like data validation and anomaly detection alongside a robust Java-based backend and database for reliable data handling. The system aims to enhance electoral p

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