🎓 Edutrack

An intelligent Learning Management System (LMS) that adapts to each user’s skill level and learning pace, ensuring a customized and effective learning experience.Built with React.ts and Gemini 2.0 Flash.

📦 Technologies

• React
• Typescript
• Tailwind CSS
• PyMongo
• Flask

✨ Features

• AI-Generated Learning Paths: Based on initial assessments to personalize learning.

• Personalized Topic Recommendations: Focus on strengthening weak areas.

• Ask AI Feature: Get instant answers to coding & learning queries.

• Real-Time Progress Tracking: Monitor performance with detailed analytics.

• User Authentication: Users can securely sign in and access notes with Firebase Auth integrated with JWT.

🚦Running the project

Prerequisites

Before you begin, ensure you have the following installed on your machine:

• Node.js: Make sure to install Node.js, which includes npm (Node Package Manager).
• MongoDB: Set up a MongoDB database and obtain the connection URL.
• Python: Required for running the Flask backend.

Steps

1. Clone the repository:

   git clone https://github.com/bmukesh23/Edutrack.git

2. Navigate to the project directory:

   cd Edutrack

3. Install Dependencies:

   cd client
   npm install

   cd ../server
   pip install -r requirements.txt

4. Set Environment Variables:

   1. Create a .env file in the root of the client folder of the project.
   2. Add the following environment variables and replace the values with your own:

   VITE_FB_API_KEY=
   VITE_FB_AUTH=
   VITE_FB_PROJECT=
   VITE_FB_STORAGE=
   VITE_FB_MESSAGING=
   VITE_FB_APP=
   VITE_FB_MEASUREMENT=
   VITE_BACKEND_URL=

   1. Create a .env file in the root of the server folder of the project.
   2. Add the following environment variables and replace the values with your own:

   SECRET_KEY=
   MONGO_URI=
   GEMINI_API_KEY=

5. Run the application:

   cd server
   python app.py

   cd client
   npm run dev

6. Access the App:

• By default, the Flask server runs on http://localhost:5000

• By default, the frontend will be available at http://localhost:5173

• Once both servers are running: Open your web browser and go to http://localhost:5173 and Ensure the backend is accessible.