🏋️ 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 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.
Premium responsive product showcase for NeuroKinetIQ a real-time AI gym coach using computer vision for pose analysis, rep counting, form correction, voice coaching, and workout tracking.
Real-time AI gym coach using computer vision and pose estimation to analyze exercise form, count reps, track workouts, and deliver AI-powered voice feedback. Built with Python, MediaPipe, OpenCV, Streamlit, Groq LLaMA, and SQLite.
AI-Powered Workout Tracking with Computer Vision
AI-powered postpartum recovery companion — FastAPI + React 19 + Gemini AI + OpenCV real-time pose tracking. Personalized exercise plans with computer vision coaching for new mothers.
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