Blazingprojects Mobile App
📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 Instant Whatsapp/Email Delivery
Computer Science
Showing 1-0 of 1,862 projects
Smart Contactless Attendance System using Computer Vision and Edge AI...
This work presents a smart contactless attendance system that leverages computer vision and edge AI to provide reliable, privacy-conscious, and scalable trackin...
Smart Traffic Management System using Edge AI and V2I Communication...
This research presents a comprehensive design and evaluation of a Smart Traffic Management System (STMS) that leverages Edge AI and Vehicle-to-Infrastructure (V...
Adaptive Lightweight Federated Learning for Resource-Constrained IoT Networks...
In resource-constrained IoT networks, deploying machine learning workflows is hindered by limited computational power, memory, energy, and intermittent connecti...
Smart Traffic Signal Optimization Using Reinforcement Learning for Urban Environment...
Smart Traffic Signal Optimization Using Reinforcement Learning for Urban Environments leverages advanced machine learning to transform intersection control in d...
Smart Traffic Signal Control Using Reinforcement Learning and Connected Vehicle Data...
Smart Traffic Signal Control Using Reinforcement Learning and Connected Vehicle Data investigates a data-driven framework that redefines urban traffic managemen...
Smart Contract-based Resource Allocation and Fairness in Edge Computing Environments...
This study presents a comprehensive framework that integrates smart contracts, blockchain, and AI-driven optimization to tackle resource allocation and fairness...
Smart Edge-Assisted Federated Learning for Real-Time Anomaly Detection in Industrial...
This study presents a novel framework that combines edge computing, federated learning, and real-time anomaly detection to enhance security, reliability, and ef...
Smart City Traffic Anomaly Detection Using Real-Time Multi-Modal Data Fusion and Exp...
This study presents a novel framework for detecting traffic anomalies in urban environments by fusing real-time multi-modal data streams and leveraging explaina...
Smart Contract-Based Supply Chain Traceability System with Real-Time Anomaly Detecti...
The rapid globalization of supply chains has intensified the need for transparent, tamper-evident, and traceable provenance of goods across multiple stakeholder...
Smart Contract-Based Access Control for IoT Networks Using Edge Computing ...
The exponential growth of Internet of Things (IoT) devices in critical environments demands robust, scalable, and trustworthy access control mechanisms that can...
Smart Health Monitoring and Anomaly Detection in IoT-Enabled Wearable Devices Using ...
Smart Health Monitoring and Anomaly Detection in IoT-Enabled Wearable Devices Using Federated Learning presents a scalable framework for real-time health monito...
Smart Campus Energy Management System using Federated Reinforcement Learning...
This study presents a novel Smart Campus Energy Management System (SCEMS) that leverages Federated Reinforcement Learning (FRL) to optimize energy consumption a...
Real-time Explainable Anomaly Detection in IoT Networks Using Self-Supervised Graph ...
In the rapidly expanding landscape of Internet of Things (IoT) environments, secure and reliable operation hinges on timely detection of anomalous behaviors acr...
Smart Traffic Signal Control using Multi-Agent Reinforcement Learning...
This study presents a novel framework for optimizing urban traffic flow through a distributed multi-agent reinforcement learning (MARL) approach to traffic sign...
Smart Healthcare: Real-time Patient Monitoring and Anomaly Detection using Edge-Clou...
Real-time patient monitoring and anomaly detection is increasingly critical for delivering proactive healthcare, reducing hospital readmissions, and enabling ti...
Smart Traffic Prediction and Control Using Spatio-Temporal Graph Neural Networks...
Smart Traffic Prediction and Control Using Spatio-Temporal Graph Neural Networks presents a novel framework that integrates graph-structured representations of ...
Smart Traffic Signal Optimization using Reinforcement Learning and Computer Vision...
This study presents a novel framework for dynamic traffic signal control that combines reinforcement learning with computer vision to optimize urban intersectio...
Autonomous Traffic Sign Recognition and Adaptive Signal Control for Smart Cities Usi...
This study presents an integrated framework that combines autonomous traffic sign recognition with adaptive signal control in urban environments through deep re...
Smart Grid Anomaly Detection Using Explainable Graph Neural Networks...
Smart Grid Anomaly Detection Using Explainable Graph Neural Networks presents a robust, scalable framework for real-time identification and interpretation of an...
Smart Contract-Based Access Control System for Decentralized Web Applications...
This research presents a comprehensive design and evaluation of a Smart Contract–Based Access Control System (SCACS) tailored for decentralized web applicatio...
Smart Campus Energy Management Using Federated Learning and Edge Analytics...
The project presents a comprehensive, privacy-preserving framework for optimizing energy consumption in a university campus by leveraging federated learning and...
Development of an AI-Powered Personalized Learning Platform...
The rapid advancements in artificial intelligence and data analytics have opened new horizons for personalized education, aiming to tailor learning experiences ...
Development of a Blockchain-Based Voting System for Enhanced Electoral Security...
The increasing demand for secure, transparent, and tamper-proof electoral processes has led to exploring innovative technological solutions, with blockchain tec...
Development of a Blockchain-Based Secure Voting System...
The increasing demand for transparent, tamper-proof, and efficient electoral processes has necessitated the exploration of innovative technological solutions, w...
Developing an AI-Powered Personalized Learning Platform for Diverse Educational Need...
This research aims to design and develop an innovative AI-powered personalized learning platform tailored to meet the diverse educational needs of learners acro...
Developing an Adaptive Cybersecurity System Using Machine Learning Techniques...
In today’s rapidly evolving digital landscape, cybersecurity threats have become increasingly sophisticated, making traditional security measures insufficient...
Development of a Blockchain-Based Secure Voting System...
The integrity and transparency of electoral processes are fundamental to sustaining democratic governance, yet existing voting systems often face challenges rel...
AI-Driven Personalized Learning Systems for Adaptive Education...
This research explores the development and implementation of an AI-driven personalized learning system designed to enhance adaptive education by addressing indi...
Developing an AI-Powered Personalized Learning Platform Using Adaptive Algorithms...
The rapid evolution of educational technology has paved the way for innovative approaches to personalized learning, aiming to tailor educational experiences to ...
Development of an AI-Powered Personalized Learning Platform...
This research presents the development of an AI-powered personalized learning platform designed to enhance educational experiences by tailoring content and inst...
