metadata

license: mit
title: EduTutor AI
sdk: gradio
emoji: 🚀
short_description: AI-Powered Quiz & Feedback Generator with IBM Granite LLM
colorFrom: blue
colorTo: green

🎓 EduTutor AI – Personalized Learning & Assessment System

EduTutor AI is an AI-powered personalized tutoring tool designed to generate custom quizzes and feedback based on a student's score and topic of interest.

Built using the powerful IBM Granite LLM and Gradio, this app enables intelligent learning and self-assessment.

🎯 Submission for IBM InnovateX Hackathon 2025

This project was developed as part of the IBM InnovateX Hackathon 2025, showcasing the use of IBM Granite LLM for solving real-world educational challenges using AI.

👥 Team Name: CodeCrafters

👩‍💻 Team Members: Koyyada Anusha, Muddassir Shakhan

📄 Initial Solution Submission: As part of the hackathon requirements, we submitted a project proposal and functional overview. View Submitted Solution

We collaboratively developed this solution from idea to implementation to address the core goals of personalized learning and automated assessment.

🙋‍♀️ Developed By

Koyyada Anusha

B.Tech - CSE (AI & ML) - Year: 2022-2026

Vaageswari College of Engineering - Roll No: 22S41A6693

GitHub: https://github.com/Anusha-831

LinkedIn: https://www.linkedin.com/in/anusha-koyyada-8b3032261

Email: koyyadaanusha05@gmail.com

Muddassir Shakhan

B.Tech - CSE (AI & ML) - Year: 2022-2026

Vaageswari College of Engineering - Roll No: 22S41A66C0

GitHub: https://github.com/Muddassirshakhan

LinkedIn: https://www.linkedin.com/in/muddassir-shakhan-559740257

Email: muddassirshakhan8@gmail.com

🚀 Live Demo

🔗 Click here to use EduTutor AI

💡 Features

🔍 Topic-Based Quiz Generation: Enter any topic (e.g., Algebra, History, Physics) and get a set of tailored multiple-choice questions.
📊 Score-Aware Feedback: Receive personalized feedback and learning tips based on your performance.
🤖 Powered by IBM Granite LLM: High-quality AI responses backed by a powerful open-source LLM.
🧠 No Coding Required: User-friendly interface with sliders and input boxes using Gradio.
🌐 Deploys on Hugging Face Spaces: Free, fast, and publicly accessible.

🛠️ Technologies Used

🧠 IBM Granite 3.3 2B Instruct LLM (via Hugging Face)
🐍 Python
🎛️ Gradio – For building interactive UI
📚 Transformers by Hugging Face
💻 Google Colab & GitHub for development

📷 App Preview

📦 Installation & Setup (Optional for Local Use)

If you want to run it locally:

`bash

git clone https://github.com/Anusha-831/EduTutor-AI.git

cd EduTutor-AI

pip install -r requirements.txt

python app.py

📄 License

This project is licensed under the MIT License. Feel free to use, modify, and share.

⭐️ Acknowledgements

🤖 IBM Granite Models – for the open-source LLM

🧪 Gradio – for building the UI effortlessly

🧠 Hugging Face – for hosting the app

“AI can’t replace teachers — but it can empower students.”