I've built practical applications across full-stack web development, mobile fitness tracking, and machine-learning research. During my internship at Exposys Data Labs, I developed components for the Dingo-Cart e-commerce website using React.js, Node.js, Express.js, and MongoDB.
For FitterX, I developed a cross-platform Flutter app for workout logging, customized diet plans, and goal tracking, integrating Firebase for secure storage and user management. I also built a real-time hand gesture recognition system with Python, OpenCV, and TensorFlow that achieved 90% classification accuracy.
I've contributed to EEG research analyzing music-induced brain activity and developed models that classified emotional states with 80% accuracy. My work also includes an Arduino-based smart garbage management system for real-time bin monitoring.
