jayesh-rn / a-machine-learning-assistant-for-adaptive-e-learning-platforms

This is Our RBL(Final year) Project of engineering

A Machine Learning Assistant for Adaptive E-learning Platform

Overview

This project aims to develop a machine learning assistant for an adaptive e-learning platform. The assistant will utilize machine learning algorithms to personalize the learning experience for each user, thereby improving engagement and knowledge retention.

Contributors

• Arpitshivam Pandey Arpit0324
• Jayesh Pandey jayesh-RN
• Banti Pathak Banti23

Features

• Personalized learning recommendations based on user behavior and performance.
• Adaptive quizzes and assessments tailored to individual learning styles.
• Real-time progress tracking and feedback.
• Integration with existing e-learning platforms.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/A-machine-learning-assistant-for-adaptive-E-learning-Platform.git
   

2. Install dependencies:

   pip install -r requirements.txt
   

Usage

1. Train the machine learning models:

   python train.py
   

2. Start the server:

   python server.py
   

3. Access the web interface at http://localhost:8000 to interact with the assistant.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

We would like to thank [insert names of any libraries, frameworks, or individuals whose work you utilized or were inspired by in this project].