Chat-Based Personal Fitness Trainer

A MERN stack fitness coach with a chat assistant (Gemini), workout logging, and progress tracking.

Features

• Landing, authentication, and onboarding flows
• Dashboard with workout logs and progress charts (Recharts)
• Floating chat widget connected to Gemini
• Profile settings and onboarding reset
• MongoDB persistence for users, logs, and chat history

Tech Stack

• Frontend: React + Vite + Tailwind CSS
• Backend: Node.js + Express + Mongoose
• Database: MongoDB
• AI: Google Gemini API

Project Structure

client/   # React frontend
server/   # Express backend

Setup

1) Backend

cd server
npm install

Create a .env in server/ (see .env.example):

PORT=5000
MONGO_URI=your_mongodb_uri
JWT_SECRET=your_jwt_secret
GEMINI_API_KEY=your_gemini_api_key
GEMINI_MODEL=models/gemini-2.5-flash
CLIENT_ORIGIN=http://localhost:5173

Run the API:

npm run dev

2) Frontend

cd client
npm install

Create client/.env:

VITE_API_URL=http://localhost:5000

Run the UI:

npm run dev

API Endpoints (Backend)

• POST /api/auth/register - create account
• POST /api/auth/login - login
• GET /api/profile - get user profile
• PUT /api/profile - update profile/goals/onboarding
• POST /api/profile/reset - reset onboarding
• POST /api/logs - create workout log
• GET /api/logs - list workout logs
• GET /api/progress - progress chart data
• POST /api/gemini/chat - chat with Gemini
• GET /api/gemini/history - chat history

Scripts

Backend:

• npm run dev - start server with nodemon
• npm start - start server

Frontend:

• npm run dev - start Vite dev server
• npm run build - production build