Integrate Recommendation Engine & Streamlit App (T3)

.gitignore

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 "cps/" 
 node_modules/
+*.env

README.md

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+# 🎓 CPS Personalized Learning System Using Knowledge Graph
+An AI-powered platform that delivers personalized learning paths using knowledge graphs and adaptive quizzes.
+
+## 🚀 Features
+- User Authentication
+- Personalized Recommendations via Concept Graph
+- Quiz Generation using GPT-4o (RAG)
+- Mastery-based Weight Updates
+- Progress Visualization
+
+## 🧠 How It Works
+1. User selects learned and target topics.
+2. System finds shortest path using the concept graph.
+3. Quizzes are generated per topic using RAG.
+4. Scores update mastery weights between 0.1–0.9.
+5. Future recommendations adapt based on mastery.
+
+## 🛠 Tech Stack
+| Tech         | Purpose                              |
+|--------------|--------------------------------------|
+| React + TypeScript | Frontend                         |
+| Node.js + Express  | Backend APIs                     |
+| MongoDB       | Persistent storage                    |
+| OpenAI GPT-4o | Quiz generation using RAG             |
+| Zustand       | Global state management               |
+| Tailwind CSS  | UI styling                            |
+
+
+## 📂 Project Structure
+client/
+server/
+data/
+
+
+## 📦 Setup & Installation
+
+1. Clone the repo
+2. Install dependencies
+3. Setup environment variables
+4. Run dev servers
+ {(cd client;npm run dev)
+(cd server;npm run dev)---> All set!!
+ensure the portno. of client to be 5173}
+
+## 📊 Future Enhancements
+- Gamification badges
+- Teacher dashboard
+- More granular topic-level quizzes
+- Enhance recommendation engine on advanced DSA topics
+- UI improvements as always
+
+
+## 🙌 Acknowledgments
+- MIT OCW for scraped content
+- OpenAI for GPT-4o API
+-IIT Ropar for the mentor and tech supoort and a lovely team.
+
+
+
+## 📃 License
+This project is licensed under the MIT License.