RetiNova

RetiNova is an AI-driven application designed to provide users with a fast and efficient way to diagnose potential eye conditions using self-taken images. This project was created as part of IrvineHacks 2025 for the Patient Safety Tech Hack Track.

🚀 Features

AI-Powered Diagnosis

• Uses a trained machine learning model to detect uveitis, cataracts, and other eye conditions

File Upload and Camera Integration

• Allows users to upload a photo or capture one directly using their device's camera

User-Friendly Interface

• Clean, responsive design with a focus on accessibility and ease of use

Confidence Scoring

• Displays confidence percentages for diagnosis accuracy

🛠️ Tech Stack

🖥️ How to Use

Prerequisites

• Install Node.js
• Install Docker

1. Clone this Repository

 git clone https://github.com/your-username/retinova.git
 cd retinova

2. Install Dependecies

  cd frontend
  npm install
  cd ../backend
  npm install
  cd ../ml-model
  pip install -r requirements.txt

3. Run the AI Model

  fastapi run

4. Run the Backend

  cd backend
  node app.js

5. Run the Frontend

  cd frontend
  npm run dev

6. Access the Application

Open http://localhost:3000 in your browser.

7. Using Docker (Optional)

  docker-compose up --build

📈 Future Enhancements

Extended AI Capabalities

• Add support for detecting more eye conditions
• Improve the training dataset to enhance accuracy and minimize false positives

Filtering Features

• Give enhanced clinical reccomendations based on insurance information
• Tailored reccomendations based on demographics (race, age, medical history, etc.)