Exercise tracking app. So we can workout more and think less.

🏋️ AI Fitness Monitor - Real-time pose detection for exercise analysis. Android app streams camera to Flask server using MediaPipe for instant squat counting & jump height measurement with skeleton overlay feedback. Built with Python, Kotlin, CameraX & OpenCV.

A full-stack personal workout management application with secure authentication, exercise tracking, and progress monitoring. Built with React, Node.js, and MongoDB for seamless fitness routine organization.

CaloFit: An online health tracking application for monitoring nutrition, fitness goals, and overall well-being with a user-friendly interface, comprehensive database, and advanced features like personalized coaching and meal planning.

Weight loss app developed using Solar2D.

A comprehensive mobile fitness tracking app built with React Native & Expo. Track workouts, monitor progress, set goals, and achieve your fitness objectives with an intuitive, cross-platform experience.

Personal Health and Fitness Tracker Dashboard built with Tableau. Visualize daily steps, calories burned, and time spent on activities to gain insights into your health and fitness journey.

A real-time Python application that uses computer-vision and pose-estimation (via libraries such as MediaPipe / OpenCV) to detect and count push-ups from video input, track user form, and provide feedback on exercise repetitions.