GitHUB - https://github.com/dhanush0823-git/AI-Lear...
This video demonstrates an AI-based learning platform developed to deliver accurate and structured knowledge using modern machine learning techniques.
The system is designed to overcome common issues like hallucination in AI models by using a Retrieval-Augmented Generation (RAG) approach. Instead of generating random responses, the platform retrieves relevant information from organized datasets and provides precise, context-aware answers.
Key Features
AI-powered question answering
Retrieval-Augmented Generation (RAG)
Embedding-based search for high accuracy
Structured and domain-specific datasets
Reduced hallucination with reliable outputs
How It Works
User queries are converted into embeddings and matched against a vector database. The system retrieves the most relevant data and generates responses based on that information, ensuring accuracy and consistency.
Tech Stack
Python
Machine Learning / AI
RAG Architecture
Vector Database (FAISS or similar)
Objective
The goal of this project is to build a reliable AI learning system that provides trustworthy answers by combining retrieval techniques with generative models.
Future Scope
Expansion to multiple domains
Improved user interface
Real-time updates and scalability
Voice-based interaction
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