/SIH-grand-final

Primary LanguageJavaScript

Smart Learning Management System (SLMS) for SIH Grand Finale

Overview

Welcome to the Smart Learning Management System (SLMS), a cutting-edge platform designed specifically for the SIH Grand Finale. Our focus is on elevating both teacher and student performance through innovative features, such as auto-content generation for teachers, a robust teacher feedback system, a machine learning (ML) system for tracking and enhancing teacher skills, and an engaging game-based learning mechanism for students.

Key Features

For Teachers:

  1. Auto Content Generation:

    • Empower teachers with an automatic content generation tool, leveraging OpenAI API to assist in creating engaging and relevant educational materials.

  2. Teacher Feedback System:

    • Implement a comprehensive feedback system, allowing students to provide valuable insights, and fostering continuous improvement in teaching methods.

  3. ML-Based Performance Tracking:

    • Utilize machine learning algorithms to analyze and track a teacher's performance over time. Provide personalized recommendations for skill enhancement.

Technology Stack

  • Django:

    • Utilized Django as the backend framework for the machine learning (ML) component, providing a robust and scalable server-side architecture for handling ML-related functionalities.

  • MERN Stack (MongoDB, Express.js, React.js, Node.js):

    • Built a seamless and efficient web application with the MERN stack for the user interface and client-server communication.

  • OpenAI API:

    • Integrated OpenAI API for advanced content generation, enhancing the quality of educational materials.

  • Rapid API:

    • Leveraged Rapid API to connect to various external services, enriching the overall functionality of the platform.

  • Python:

    • Used Python as the primary programming language for ML algorithms and backend development.

  • WebSocket:

    • Implemented WebSocket for real-time communication and collaboration features.

  • MongoDB:

    • Stored and managed data efficiently using MongoDB, a NoSQL database.

  • Amazon S3:

    • Utilized Amazon S3 for secure and scalable cloud storage to handle multimedia content.

For Students:

  1. Game-Based Learning Mechanism:

    • Introduce a gamified learning approach to make the educational experience enjoyable and interactive for students.

  2. ML-Based Personalized Learning Paths:

    • Implement machine learning algorithms to analyze students' performance and tailor learning paths to individual strengths and weaknesses.

  3. Reward-Based System:

    • Motivate students through a reward-based system, recognizing achievements and encouraging active participation.

Additional Features

  • Rapid API Integration:

    • Integrate Rapid API to enhance the platform's functionality, connecting to various external services and enriching the learning experience.

  • Real-Time Collaboration:

    • Utilize WebSocket for real-time communication, enabling seamless collaboration between teachers and students.

🧑‍💻 Authors

Jyotiraditya Mishra
Meghna Dutta
S Victor Kumar
Ankush Roy
Md. Amaan
Adarsh

Contribution Guidelines

We welcome contributions from the community to enhance the SLMS platform. Feel free to fork the repository, make your improvements, and submit a pull request.

License

This project is licensed under the MIT License.