AI Powered LMS

Local Project Setup

Prerequisites:

• Git: Ensure you have Git installed. If not, download and install it from https://git-scm.com/.
• Python: Make sure you have Python 3.x installed. You can download it from https://www.python.org/downloads/.
• Node.js: You'll need Node.js and npm for the frontend. Download and install them from https://nodejs.org/.

Steps:

1. Clone the Repository:
   • Open your terminal and run the following command to clone the repository to your local machine:

     git clone https://github.com/ravikumawat7716/soft-engg-project-may-2024-se-may-23.git
     

Backend Setup:

• If you want to use your System's Global Python Environment then you can skip step 2 & 3 (Recommeded to make venv)

2. Create a Virtual Environment:

   • In the backend folder, create a virtual environment with the following command:

     python3 -m venv venv
     

3. Activate the Virtual Environment:

   • Activate the virtual environment based on your operating system:
     • On Linux:

       source ./venv/bin/activate
       

     • On Windows:

       .\venv\Scripts\activate
       

4. Install Backend Dependencies:

   • Install the required Python packages using pip:

     pip install -r requirements.txt
     

5. Start the Backend Server:

   • Run the backend server using:

     python main.py
     

Ollama Installation and Running Qwen-2-0.5B

Step 1: Download and Install Ollama

1. Visit the Ollama download page for Windows.
2. Download the installer and follow the on-screen instructions to complete the installation.

Step 2: Run the given command in Terminal:

    ollama run qwen2:0.5b

This will download the Qwen2 model and run it.

Frontend Setup:

12. Navigate to the Frontend Directory:

    • In your terminal, navigate to the frontend directory within the project folder.

13. Install Frontend Dependencies:

    • Install the required Node.js packages by running:

      npm install
      

14. Run the Application:

    • Start the frontend application by running:

      npm run dev
      

You're now ready to use the application locally. Access it in your web browser at http://localhost:5173/.

Now you can start development process.