AI Learning Platform RAG System

EduPath Explorer

Smart Learning Pathfinder - AI-powered course recommendation system that unlocks learning potential with personalized recommendations

EduPath Explorer - Smart Learning Pathfinder

Project Overview

EduPath Explorer is an intelligent AI-powered course recommendation system designed to revolutionize personalized learning experiences. Built using advanced vector embeddings and RAG (Retrieval-Augmented Generation) technology, it provides tailored course recommendations based on individual learning goals and interests.

The platform integrates with Analytics Vidhya's comprehensive course database, covering AI, NLP, Machine Learning, and Data Science. It features an intelligent match scoring system (51-57% accuracy) and provides detailed course descriptions to help learners make informed decisions about their educational journey.

AI-Powered

Recommendations

Vector DB

Technology

RAG System

Implementation

Personalized

Learning Paths

Key Features

🤖

AI-Powered Recommendations

Advanced recommendation engine using OpenAI text-embedding-ada-002 for intelligent course matching

📊

Match Score System

Intelligent scoring algorithm providing 51-57% match scores to rank course relevance and suitability

🎯

Personalized Learning Paths

Custom course suggestions tailored to individual user interests and specific learning objectives

📚

Comprehensive Course Database

Integration with Analytics Vidhya courses covering AI, NLP, ML, Data Science, and Deep Learning

🔍

Vector Database Integration

Efficient storage and retrieval of course embeddings for fast and accurate recommendations

💡

RAG System Implementation

Retrieval-Augmented Generation for enhanced recommendation accuracy and contextual understanding

Technology Stack

AI & Machine Learning

OpenAI text-embedding-ada-002 Vector Database RAG System Machine Learning NLP

Programming & Framework

Python Gradio Streamlit Pandas NumPy

Data & Analytics

Analytics Vidhya Platform Course Embeddings Similarity Matching Data Processing

Deployment & Hosting

Hugging Face Spaces GitHub Cloud Deployment

Course Categories & Recommendations

🧠

Natural Language Processing

Introduction to NLP fundamentals, regular expressions, text sentiment analysis, and machine learning applications

Featured Course: Introduction to Natural Language Processing
Match Score: 57%
🤖

AI Model Development

Building ChatGPT-style language models from scratch using PyTorch, transformers, and decoder-only architectures

Featured Course: Coding a ChatGPT-style Language Model from Scratch
Match Score: 51%
📈

Text Classification

Practical NLP for building classification models with PyTorch, bag-of-words, and count vectorizers

Featured Course: Building a Text Classification Model with NLP
Match Score: 51%
🔬

Machine Learning

Advanced ML techniques, deep learning applications, and neural network implementations

Focus Areas: Deep Learning, Neural Networks, PyTorch
📊

Data Science

Data analysis, visualization, and analytics tools for professional development and career advancement

Target Audience: Professionals and aspiring students

Industry Applications

Real-world applications of AI and NLP technologies across various industries and domains

Market Value: $30 Billion USD by 2024

System Architecture & Workflow

1

User Input Processing

Capture user learning interests and goals through intuitive interface (e.g., "AI and NLP")

2

Vector Embedding Generation

Convert user input into vector embeddings using OpenAI text-embedding-ada-002 model

3

Similarity Matching

Compare user embeddings with course embeddings stored in vector database

4

RAG Enhancement

Apply Retrieval-Augmented Generation to enhance recommendation accuracy and context

5

Score Calculation

Calculate match scores (51-57%) and rank courses by relevance and suitability

6

Personalized Results

Present ranked course recommendations with detailed descriptions and learning paths

Project Highlights & Achievements

🎯 Personalized Learning Experience

Revolutionary approach to course recommendation using AI to match individual learning goals with optimal educational content

🔬 Advanced AI Implementation

Cutting-edge vector embeddings and RAG system for intelligent content matching and recommendation accuracy

📚 Comprehensive Course Database

Integration with Analytics Vidhya's extensive course library covering the latest in AI, ML, and Data Science

🚀 Production-Ready Deployment

Successfully deployed on Hugging Face Spaces with 2+ likes and active user engagement

💡 Industry-Relevant Content

Focus on real-world applications with courses covering $30 Billion USD market value by 2024

🎨 User-Centric Design

Clean, modern interface with intuitive course discovery and detailed match score visualization

Live Demo & Usage

Try EduPath Explorer

Experience the power of AI-driven course recommendations:

  • ✨ Enter your learning interests (e.g., "AI and NLP")
  • 🎯 Get personalized course recommendations
  • 📊 View detailed match scores and descriptions
  • 🚀 Discover your optimal learning path
EduPath Explorer File Structure