My Projects

Portfolio Website

This project is a professional portfolio website designed to highlight my skills and experiences as a Computer Science Engineer. It features a sleek black and crimson theme, with sections for personal information, skills, education, projects, and contact details. Key features include:

• Responsive Design: Ensures a seamless experience across all devices.
• Dynamic Content: Interactive elements built with HTML, CSS, and JavaScript.
• Performance Optimized: Fast loading times and smooth navigation.

Indian Sign Language Detection

This project focuses on recognizing hand signs from the Indian Sign Language (ISL) alphabet using machine learning techniques. The system uses computer vision for real-time hand sign recognition and provides a user-friendly interface for interaction. Key features include:

• Real-Time Hand Sign Recognition: Identifies ISL signs using a webcam feed.
• Machine Learning Model: Trained on a dataset of hand signs with RandomForestClassifier for prediction accuracy.
• User Interface: Interactive interface built with Python to allow real-time testing.

View on GitHub