An innovative system that leverages machine learning to analyze cognitive and behavioral data for early detection of dementia, enabling timely intervention and care.

A smart career guidance platform that uses AI to analyze student profiles, academic performance, and interests to provide personalized career path and skill development recommendations.

Developed a full-stack platform seamlessly connecting tailors and customers to solve inaccurate clothing fit problems effectively. Designed the database schema, backend APIs, and integrated email templates with a fully responsive front-end interface. Used OpenCV and TensorFlow to automatically extract body measurements, significantly improving fit accuracy by 25%.

Built an AI-driven traffic management system to ease congestion by detecting vehicles in real time and predicting traffic flow. Integrated IoT sensors and camera feeds to detect accidents in real time and dynamically adjust signals, prioritizing ambulances and emergency vehicles. Achieved a 70% reduction in vehicle wait times and improved overall traffic flow efficiency by 50%.

Created an interactive learning platform offering curated roadmaps for placements, internships, and competitive programming. Integrated a browser-based multi-language code editor (C, C++, Java, Python, JavaScript) with user authentication. Applied the Software Development Lifecycle (SDLC) to design and implement AI-powered hints with a responsive interface.

Developed an AI-powered task optimization system that suggests tasks based on real-time emotion detection. The system uses a webcam to capture facial expressions and DeepFace to analyze emotions, achieving an emotion detection accuracy of over 90%.

Log workouts, track nutrition, set goals, and monitor progress to stay fit and motivated!

A machine learning-based project that suggests personalized courses using Coursera dataset analysis. It leverages content-based and collaborative filtering techniques to provide accurate recommendations.

Uses OpenCV, Deep Learning, and TensorFlow to detect faces and mark attendance automatically. This project helps automate attendance tracking with high accuracy and real-time detection.

A student-led initiative to connect skills with service. This platform empowers volunteers to contribute their technical, creative, and social talents toward meaningful community impact.

A collection of machine learning projects and experiments, exploring algorithms, data preprocessing, model building, and performance evaluation.