Real-time exercise repetition counter using computer vision and pose estimation. Detects and counts reps for 5 exercises with form validation and session analytics. Powered by MediaPipe and OpenCV.
AI Fitness Coach — A full-stack AI fitness and nutrition assistant built with Next.js and Gemini AI. Generates personalized workout plans and diet guidance with chat sessions, profile memory, streaming AI responses, and a modern UI. Deployed on Vercel.
Open-source AI fitness body transformation simulator — production-ready Next.js SaaS that visualizes physique goals with photorealistic AI body transformation. For personal trainers, gyms, and fitness apps. Stripe billing, credits, NextAuth, and Prisma.
An AI-powered fitness assistant that generates personalized workout and diet plans based on user needs.
Microsoft AI School 8기, First Team Project
HUBXAi Intelligence Labs Biomechanics Aware Intelligence Layer for Human Performance. AI coaching, recovery intelligence, biomechanics diagnostics, and adaptive performance systems built by FastFitHub.
vital-ai is a Django-based API that integrates with OpenAI's ChatGPT to provide personalized health advice based on Apple Health data. The system analyzes users' sleep patterns, step counts, and activity levels, generating custom insights and suggestions for improved well-being.
Profile repo: our stage statement. Start at LAO, our first open-source product. Site: zwiserfit.cn
AI-powered fitness recommendation system using a hybrid Reinforcement Learning and Genetic Algorithm approach (HAFRA) with NLP-based user interaction.
AI-powered fitness assistant using Machine Learning, Computer Vision, MediaPipe, Streamlit, and FastAPI for workout tracking and health insights.
Real-time AI system for push-up form correction using MediaPipe pose estimation and a Random Forest classifier.
Self-supervised motion error detection for fitness exercises using trajectory extraction and contrastive learning. (NYCU Deep Learning Final Project)
AI Pose Estimation for Fitness Tracking (Capstone Project)
Real-time AI-powered Ab Wheel rep counter. Uses MediaPipe for robust pose estimation and a smart state machine to accurately track exercise repetitions and record sessions.
AI fitness platform — biometric-based personalised training plan generation, progressive overload tracking, fatigue index monitoring, and LLM-driven adaptive weekly coaching.
Interactive AI-powered fitness guide offering personalized workout and diet plans
SmartFit AI uses machine learning to analyze fitness and health data, predict calorie burn, BMI, and body fat, and group users into fitness archetypes. It combines PCA, K-Means, and neural networks to generate personalized workout and diet recommendations with clear visual insights.
This project implements an AI-powered exercise classification system that detects and classifies different workout poses (e.g., push-ups, squats, planks, lunges, etc.) from pose landmark data. The model leverages MediaPipe pose estimation outputs and Random Forest machine learning to identify exercises based on human body landmarks.
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