This repository contains the source code and documentation for a project aimed at enhancing the Looma Education System by integrating advanced AI capabilities. The project focuses on automating the summarization of textbook chapters and educational resources, generating relevant topics, matching resources, and implementing a semantic search feature using Meta's LLaMA model.
The Looma Education System is utilized extensively across Nepal, delivering government-approved textbooks enhanced with a vast library of digital media resources to make educational content engaging and accessible. This project aims to automate the matching of digital resources to textbook chapters through AI-driven text analysis, significantly reducing manual effort and improving the system's scalability.
- Text Summarization: Automatically generates concise summaries of textbook chapters and digital resources.
- Topic Generation: Extracts key topics and terms to better organize and retrieve educational content.
- Resource Matching: Uses AI to intelligently link digital resources with the relevant textbook chapters.
- Semantic Search [Extension]: Implements a real-time search feature to dynamically query the educational content database.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
git clone https://github.com/Sciotaku/LoomaAI.git
cd LoomaAI
pip install -r requirements.txt