Eye-Ballers - Glaucoma Predection Model

Harnessing the power of Style GAN3, we bridge the gap between tech and creativity, pushing the boundaries of digital design to detect if a person is suffering from glaucoma or not using an image of the eye.

This is the final product we were aiming for -

Overview

This project is split into two main components:

1. Frontend: A sleek and intuitive website interface, with a place to upload pictures.
2. Backend: A robust machine learning model based on Style GAN3.

Features

• Interactive UI: Engage with AI-generated art in real-time.
• Personalized Art Generation: Customize and create unique visuals.
• Seamless Integration: Smooth frontend-backend interaction for instant results.

Instruments used(Software)

• Text Edit (for frontend)
• Python 3.x (for backend)

Usage

1. Navigate to the website's URL.
2. Interact with the provided tools to customize your AI-generated art.
3. Hit generate and marvel at the results.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you'd like to change.

Acknowledgements

• Thanks to NVIDIA CORPORATION & AFFILIATES for Style GAN3 model.
• Shout out to the HackPSU community for the constant support and food

Note on Our Journey

• As a team of freshmen, we set out with high ambitions and a zest for innovation.
• While our aspirations were sky-high, we were able to bring to life the frontend aspect of the project, which we're proud of.
• Despite these challenges, we rallied, persisting against the odds and assembling what we could in the given time.
• This experience was invaluable. It's not just about the product; it's about the lessons, growth, and the resilience we've gained along the way.
• That being said we would still like to thank you for this opportunity.

Built With

• css
• html5
• python