RepRight is a modern, AI-powered fitness web application designed primarily for Indian users. The goal is to build a scalable, browser-based platform that provides real-time AI coaching, personalized workouts, culturally relevant diet planning, and strong progress analytics. We are looking for experienced developers (full-stack and/or AI-focused) to help build a production-ready MVP with a clean, modern UI and modular architecture for future scaling. --- CORE OBJECTIVE Develop a full-stack fitness platform that combines: * Real-time AI posture correction using webcam * Personalized workout planning * Indian diet recommendations * Analytics and progress tracking * Community engagement features The system must be scalable, secure, and extensible for future features like mobile apps and wearables. --- KEY FEATURES 1. USER MANAGEMENT * Email-based authentication with JWT * Secure password handling (bcrypt) * Role-based access (user/admin) * User profiles with goals, injuries, diet preferences --- 2. PERSONALIZED WORKOUT PLANNER * Adaptive workout generation based on: * Fitness level and goals * Available time and equipment * Physical limitations * Weekly structured routines * Workout logging and progression tracking * Progressive overload logic --- 3. INDIAN DIET PLANNER * AI-assisted diet recommendations based on Indian cuisine * Veg / vegan / non-veg support * Regional food suggestions * Macro-balanced plans * Meal logging and tracking --- 4. AI REAL-TIME FORM CORRECTION (CORE FEATURE) A browser-based AI coaching module using pose estimation. Requirements: * Webcam-based pose detection (MediaPipe or similar) * Real-time skeleton tracking (~30 FPS) * Joint angle and posture analysis * Exercise form detection (squats, push-ups, etc.) * Instant feedback: * Visual overlays * Text corrections * Optional voice feedback * Rep counting and form scoring (0–100) * Privacy-first: no video storage, only pose landmarks --- 5. ANALYTICS DASHBOARD * Workout and performance tracking * Posture improvement trends * Calories and adherence tracking * Progress charts and heatmaps --- 6. COMMUNITY FEATURES (MVP LEVEL) * Fitness challenges * Leaderboards * Achievement tracking * Community groups (basic implementation) --- 7. ADMIN PANEL * User analytics dashboard * Workout and diet content management * Challenge management --- TECH STACK (PREFERRED) Frontend: * Next.js (App Router) * React + TypeScript * Tailwind CSS * Recharts or similar chart library Backend: * Node.js (API routes or Express) * MongoDB (Mongoose) AI / ML: * MediaPipe Pose or equivalent browser-based pose estimation * Lightweight rule-based + optional ML scoring Deployment: * Vercel or similar serverless hosting --- NON-FUNCTIONAL REQUIREMENTS * Responsive design (mobile-first) * Fast loading (<3s initial load) * Real-time AI feedback (<1s latency) * Modular and clean codebase * Scalable architecture --- IDEAL CANDIDATES We are open to: * Full-stack developers * AI/ML engineers (pose estimation experience) * Small teams for faster delivery Experience with any of the following is a plus: * Real-time video processing * Fitness or health apps * AI in browser environments * SaaS architecture --- DELIVERABLES * Production-ready web app (MVP) * Clean, modular codebase * Documentation for setup and deployment * Basic testing and performance validation --- FUTURE SCOPE (NOT REQUIRED BUT GOOD TO DESIGN FOR) * Mobile apps (React Native / Flutter) * Wearable integrations * Multilingual support * Advanced ML personalization --- If you have experience building AI-powered web apps or real-time ML systems, please share: * Relevant portfolio/projects * Tech stack expertise * Estimated timeline and approach