ABSTRACT: This research introduces a Collaborative Framework Based on Software for wireless sensor nodes to enhance event processing and detect malicious behaviors. It utilizes a two-stage distributed algorithm: setup with weighted proportionalRead More…
ABSTRACT: COVID-19 has emerged as a global health crisis, threatening human life and the global economy due to its high transmissibility. A Deep Learning Approach for LSTM in COVID-19 Forecasting is proposedRead More…
ABSTRACT: Facial expressions are powerful non-verbal cues that play a vital role in human communication. This research focuses on developing a Real-Time Facial Expression Recognition system using Cognitive Emotion AI to detectRead More…
ABSTRACT: Cloud based computing is a web-based solution that enables the sharing of technological infrastructure, software, and digital content through a pay-per-use model—similar to traditional utility services.A bookmark manager is an essentialRead More…
ABSTRACT The Chat Robot for Medical Applications project is a web-based application designed to assist patients by responding to their medical-related queries through an AI-powered Medical Applications chatbot. Unlike traditional systems, thisRead More…
ABSTRACT: The Android Based Diet Consultant is a mobile app that helps users plan their diet based on personal health data. It collects basic inputs such as weight, height, age, gender, andRead More…
ABSTRACT: The Dynamic Road Signal Based on Emergency with Density improves Modern Automated System Traffic Signals control by adjusting signals based on real-time traffic and emergencies. The system uses infrared sensors toRead More…
ABSTRACT: The project titled Automatic Control for Home Applications using IoT focuses on developing a smart home automation system using Wi-Fi technology. With the rise of the Internet of Things (IoT), smartRead More…
ABSTRACT: Automatic Face Mask Detection Using Python a solution was proposed to assist in minimizing COVID-19 transmission. Real-time mask detection was enabled using deep learning and computer vision techniques. A dataset containingRead More…
ABSTRACT: The IoT-Based Intruder Prevention system using Fogger provides an intelligent and automated approach to enhancing public security. Traditional surveillance relies heavily on manual monitoring, which is time-consuming and often inaccurate. ToRead More…
