GymSight 💪

GymSight is a web application designed to enhance your workout experience by providing real-time feedback on exercise form using AI-powered video analysis. Select an exercise, record yourself performing it, and receive instant corrective guidance to improve technique and prevent injuries.

✨ Features

• Real-time Exercise Form Analysis: Get immediate feedback on your posture and movement.
• AI-Powered Video Processing: Leverages advanced AI models to understand exercise execution.
• Corrective Guidance: Receive actionable tips to improve your form.
• User-Friendly Interface: Easily select exercises and view feedback.

🚀 Technology Stack

GymSight is built with a modern and efficient technology stack:

• Frontend Framework: Next.js - Handles routing, server-side rendering, and API endpoints.
• UI Components: Shadcn UI - Provides accessible and customizable UI components built on Tailwind CSS.
• AI/ML Abstraction: Genkit - Simplifies interaction with foundation models through a clean abstraction layer.
• Foundation Model: Google AI Gemini 2.0 Flash - Powers the core video analysis and feedback generation (accessed via the @genkit-ai/googleai plugin).

🏗️ Project Structure

Here's a brief overview of the key directories and files:

├── src/
│   ├── app/
│   │   └── page.tsx        # Main application component (camera, selection, AI integration)
│   ├── components/
│   │   └── ui/             # Reusable Shadcn UI components (Button, Select, Card, etc.)
│   ├── ai/
│   │   ├── ai-instance.ts  # Genkit instance configuration and initialization
│   │   └── flows/
│   │       └── analyze-exercise-form.ts # Defines the Genkit flow for exercise analysis
│   └── ...                 # Other source files
├── public/                 # Static assets
├── next.config.ts          # Next.js configuration
├── tsconfig.json           # TypeScript configuration
├── package.json            # Project dependencies and scripts 1 
└── README.md               # This file   

🛠️ Getting Started

Follow these steps to get GymSight running locally:

1. Prerequisites:

• Node.js (Version X.X.X or higher recommended - adjust as needed)
• npm, yarn, or pnpm
• A Google AI API Key (for Gemini access)

2. Clone the Repository:

git clone [https://github.com/your-username/gymsight.git](https://github.com/your-username/gymsight.git) # Replace with your repo URL
cd gymsight

3. Install Dependencies:

npm install
# or
yarn install
# or
pnpm install

4. Set Up Environment Variables:

# .env.local
GOOGLE_AI_API_KEY=YOUR_API_KEY_HERE

5. Run the Development Server:

npm run dev
# or
yarn dev
# or
pnpm dev