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Welcome to EduPulse AI! 🎓✨

Smarter Learning. Calmer Classrooms.

Hi there! Welcome to EduPulse. We've built this platform to make education smoother, smarter, and a little less stressful for everyone involved—students, teachers, and parents.

It uses powerful Microsoft Azure AI to create a personalized experience: helping students learn at their own pace, saving teachers hours of grading time, and giving parents peace of mind about their child's progress.


🚀 How to Run (The Easy Way)

We've made this super simple. You don't need to be a coding wizard to get started.

1-Click Start (Windows)

Just look for the file named start_edupulse.bat in this folder and double-click it.

That's it!

  • It will automatically set up the environment.
  • It will start the server.
  • It will open the app in your browser at http://localhost:5000.

(If you prefer the manual way or are on Mac/Linux, check the "For Developers" section below!)


🌟 What Can EduPulse Do?

For Students 🦸‍♂️

  • Your Personal AI Tutor: Stuck on a homework problem? Chat with our AI tutor! It explains things simply, just like a friend would.
  • Fun Quizzes: Test your knowledge and get instant feedback.

For Teachers 👩‍🏫

  • Magic Grading: Snap a picture of a handwritten assignment, and our AI (using Azure Vision) will grade it for you instantly. No more late nights with a red pen!
  • Class Insights: See at a glance who is doing well and who might need a little extra help.

For Parents 👨‍👩‍👧‍👧

  • Peace of Mind: No more guessing. See exactly how your child is doing in real-time.
  • Early Warnings: Our system notices if a student is falling behind before it becomes a big problem, so you can help early.

💻 For Developers (The Tech Stuff)

If you're here to look at the code, here's what's under the hood:

  • Frontend: Built with React (so it's fast and snappy).
  • Backend: Powered by Python Flask.
  • AI Brains: We use Microsoft Azure OpenAI and Azure AI Vision to do the heavy lifting.

Manual Setup

If you want to run things manually:

  1. Frontend: Go to the Frontend folder, run npm install then npm run build.
  2. Backend: Go to the backend folder, run pip install -r requirements.txt.
  3. Run: Start the server with python app.py.

Made with ❤️ for the Imagine Cup.

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