AI Mentor — Learning Platform

An AI-powered learning management system with course management, analytics, community discussions, and AI-generated video lessons.

Features

• 📚 Course Management & Purchasing
• 📊 Learning Analytics
• 💬 Community Discussions
• 🔐 User Authentication (JWT + Google OAuth)
• 🤖 AI-Generated Lesson Videos (Gemini + TTS + FFmpeg)

Tech Stack

• Frontend: React 19 + Vite + Tailwind CSS
• Backend: Node.js + Express + Sequelize
• Database: PostgreSQL
• AI Service: Python + FastAPI + Google Gemini
• Auth: Firebase (Google OAuth) + JWT

Prerequisites

• Node.js v18+
• PostgreSQL v14+
• Python 3.10+
• FFmpeg
• npm

Quick Start

1. Clone the repository

git clone <repository-url>
cd AI-Mentor-Updated

2. Setup Backend

cd backend
npm install
cp .env.example .env
# Fill in your database credentials and secrets in .env
npm run dev

See backend/README.md for full setup guide.

3. Setup Frontend

cd frontend
npm install
cp .env.example .env
# Fill in your Firebase credentials in .env
npm run dev

See frontend/README.md for full setup guide.

4. Setup AI Service

cd ai_service
python -m venv venv
.\venv\Scripts\activate   # Windows
pip install -r backend/requirements.txt
cp backend/.env.example backend/.env
# Fill in Gemini and Cloudinary keys in .env
cd backend
uvicorn api:app --reload --port 8000

See ai_service/README.md for full setup guide.

5. Setup ESLint

At the frontendAdmin and root directory run:

npm install

At the root directory run the following command:

npm run lint

This will run ESLint on all three following services:

cd backend
npm run lint
cd frontend
npm run lint
cd frontendAdmin
npm run lint

To run ESLint on a specific file:

cd directory_name
npx eslint path/to/file.js

For example:

cd backend
npx eslint server.js

Some extensions like ESLint and Error Lens are recommended to be installed in code editor for better visibility of errors.

Environment Variables

Each service has its own .env file. Copy the .env.example in each folder and fill in your values.

Service	Key variables
backend/	DB_NAME, DB_USER, DB_PASSWORD, JWT_SECRET, AI_SERVICE_URL
frontend/	VITE_API_BASE_URL, VITE_FIREBASE_*
ai_service/backend/	GEMINI_API_KEY, CLOUDINARY_*

Running the Application

Start all three services in separate terminals:

# Terminal 1 — Backend API
cd backend && npm run dev

# Terminal 2 — Frontend
cd frontend && npm run dev

# Terminal 3 — AI Service

cd ai_service && .\venv\Scripts\activate && cd backend && uvicorn api:app --reload --port 8000

OR 

.\start_ai.bat

Then open http://localhost:5173 in your browser.

Project Structure

AI-Mentor-Updated/
├── backend/       # Node.js + Express REST API
├── frontend/      # React + Vite web application
└── ai_service/    # Python + FastAPI AI lesson generator

About

This project was developed as part of an internship. All rights reserved by the respective authors and organisation.