🚀 Hyper Learning

The Ultimate Digital Companion for RGPV B.Tech Students. > Access previous year question papers, digital solutions, and AI-powered assistance instantly.

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📖 About The Project

Hyper Learning is an open-source e-learning platform designed to simplify exam preparation for RGPV students. It provides a structured archive of question papers across multiple branches (AIML, CSE, CSIT, CSCY) and integrates AI-powered solutions to help students understand complex topics quickly.

✨ Key Features

• 📚 Digital Archive: Organized collection of RGPV PYQs (Previous Year Questions).
• 🤖 AI Integration: "Generate Answer" feature powered by Google Gemini (Backend).
• ⚡ Fast & Responsive: Modern, lightweight UI optimized for mobile and desktop.
• 🎓 Student Centric: tailored specifically for the B.Tech curriculum.

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🛠️ Tech Stack

Frontend (Open Source):

• HTML5
• CSS3 (Custom Animations & Layouts)
• Vanilla JavaScript (DOM Manipulation & Fetch API)

Backend (Closed Source):

• Node.js & Express
• Hosted on Vercel Serverless
• Gemini API

🔒 Security Note: This repository contains the Frontend source code. The Backend API (handling AI generation and caching) is hosted privately on Vercel to protect API keys and manage rate limits securely.

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🚀 Getting Started locally

To run the frontend of Hyper Learning on your local machine:

1. Clone the repository:

   git clone [https://github.com/imuniqueshiv/Hyper-Learning.git](https://github.com/imuniqueshiv/Hyper-Learning.git)

2. Navigate to the folder:

   cd Hyper-Learning

3. Run the project: Simply open the index.html file in your browser.
   • Recommended: Use the "Live Server" extension in VS Code for the best experience.

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🤝 How to Contribute

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

You can contribute by:

• Adding missing Question Papers (HTML format).
• Fixing typos or UI bugs.
• Improving the CSS/Design.

Steps to Contribute:

1. Fork the Project (Click the 'Fork' button at the top right of this page).
2. Clone your Fork to your local machine.
3. Create your Feature Branch (git checkout -b feature/AmazingFeature).
4. Commit your Changes (git commit -m 'Add some AmazingFeature').
5. Push to the Branch (git push origin feature/AmazingFeature).
6. Open a Pull Request against the main branch.

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📄 License

Distributed under the MIT License. See LICENSE file for more information.

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📞 Contact

Shiv Raj Singh - GitHub Profile

Project Link: https://github.com/imuniqueshiv/Hyper-Learning