QuickCure

AI-Powered Medical Assistant

This is an AI-driven platform that provides doctors with advanced diagnostic tools to help detect critical health conditions. The platform includes models for cardiovascular disease prediction, lung X-ray analysis, ocular disease recognition, and a streamlined report-handling system for patients.

Features

• Cardiovascular Disease Prediction: Predicts the likelihood of cardiovascular diseases based on patient data.
• Ocular Disease Recognition: Upload eye images to detect diseases such as:
  • Diabetes
  • Glaucoma
  • Cataracts
  • Age-Related Macular Degeneration
  • Hypertension
  • Pathological Myopia
  • Other abnormalities
• Pneumonia Detection: Analyzes chest X-rays to detect signs of pneumonia.
• Streamlined Report Handling: Patients no longer need to visit the hospital to collect reports.
• Virtual Assistant for Symptom Detection (upcoming): Use an AI-powered chatbot to diagnose symptoms and suggest potential conditions.

Website Demo

Chatbot Demo (OnDemand AI)

Mobile Application Demo

Technologies Used

• Backend: Python, Flask
• Frontend: HTML, CSS, JavaScript, Bootstrap
• AI Models: TensorFlow, PyTorch
• Database: Firebase
• APIs: Integration with hospital databases for report management
• Deployment: Docker

Installation

To run the project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/uditbhatia26/medurgency-brainwave.git