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SeVA: Senior Virtual Assistant for Healthcare

Overview SeVA is an advanced healthcare support system designed to empower seniors with proactive health monitoring and personalized care recommendations. By leveraging real-time data analysis, advanced signal processing, and AI-driven insights, SeVA bridges the gap between conventional healthcare systems and senior-specific needs. The system seamlessly integrates wearable devices, IoT sensors, and patient data to provide […]

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AI/ML-Based Detection and Categorization of Covert Communication in IPv6 Networks

Overview Fig: The prisoner’s scenario with IPv6 covert communication This project introduces a state-of-the-art detection framework for covert communications in IPv6 networks, leveraging advanced Artificial Intelligence (AI), Machine Learning (ML), and Generative AI methodologies. The system is designed to address the vulnerabilities of IPv6 extension headers, which can be exploited for stealthy data transmission. By

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Quantized Transformer Language Model Implementations on Edge Devices

Overview The Quantized Transformer Language Model project is a groundbreaking initiative aimed at deploying large-scale Natural Language Processing (NLP) models on resource-constrained edge devices. By leveraging model quantization and optimization techniques, this project ensures efficient, low-latency inference while maintaining high accuracy. It integrates advanced Machine Learning (ML), Quantization, and TinyML frameworks to enable large transformer-based

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AI-RMS: Artificial Intelligence Based Reputation Management System

Overview AI-RMS is an advanced Artificial Intelligence-based Reputation Management System designed to automate the analysis and monitoring of online reputation in social media. It addresses challenges faced by domain experts by integrating state-of-the-art technologies to analyze reputation trends and factors in real time. The system calculates reputation scores by aggregating predictions from three critical factors:

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RAG-Enhanced Generative AI for Communication Standards Compliance and Protocol Equivalence Verification

Overview The “RAG-Enhanced Generative AI for Communication Standards Compliance and Protocol Equivalence Verification” project introduces a state-of-the-art framework for automating the verification of communication standards compliance and ensuring equivalence between messages across different communication protocols. By utilizing Retrieval-Augmented Generation (RAG), advanced Generative AI, and protocol-specific knowledge, the system evaluates whether communication packets adhere to relevant

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SEO-TIMS: Search Engine Optimization with Topic Intelligence Management System

SEO-TIMS is a cutting-edge Search Engine Optimization framework powered by Topic Intelligence Management System. It is designed to revolutionize how businesses and individuals optimize their online presence by providing personalized, data-driven insights. By leveraging advanced Natural Language Processing (NLP), Machine Learning (ML), and Generative AI, SEO-TIMS enhances search engine visibility by clustering content, scoring topic

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