The Problem

Personal trainers are expensive ($50-100/session) and not always available. 67% of gym memberships go unused, and home workouts lack proper guidance and motivation.

The Solution

An AI fitness coach that uses computer vision to analyze form, creates personalized workout plans, provides real-time feedback, and adapts based on progress and preferences.

Key Features

  • Computer vision form analysis
  • Personalized workout generation
  • Progress tracking and adaptation
  • Nutrition guidance integration
  • Social features and challenges

Technical Requirements

Computer Vision (OpenCV, MediaPipe)
Mobile app development
Real-time video processing
Machine Learning models
Cloud infrastructure

Competitive Advantage

Real-time form correction using AI, unlike static video-based apps. Focus on home workouts with minimal equipment.

Market Validation

Demand Indicators

  • 300% increase in home fitness app downloads
  • Growing wearable device adoption
  • Shift towards personalized health

Competitor Analysis

Nike Training Club, Peloton focus on content; opportunity for AI-powered personalization

Implementation Roadmap

MVP Features

Basic exercise recognitionSimple workout plansProgress tracking

Development Steps

  1. 1 Develop computer vision models
  2. 2 Build mobile app interface
  3. 3 Create workout plan generator
  4. 4 Implement progress tracking
  5. 5 Add social and gamification features