MedAI

MedAI is a Flask application that utilizes AI algorithms to detect skin diseases and provide treatment susceptibility for patients. It offers an intelligent system that analyzes patient data and provides valuable insights for effective disease diagnosis and treatment planning.

Preview

Features

Skin Disease Detection: MedAI leverages advanced AI algorithms to analyze patient symptoms and data to accurately detect various diseases.
Treatment Susceptibility: Based on the detected disease, MedAI provides valuable information on treatment susceptibility, assisting healthcare professionals in making informed decisions.
User-Friendly Interface: MedAI offers an intuitive and easy-to-use interface, making it accessible for both medical professionals and patients.
Data Privacy and Security: MedAI prioritizes data privacy and security, ensuring that patient information is handled with the utmost confidentiality and adheres to industry standards.

Used Technologies

Contributors


Younes Ammari	Rawan Reda	Alma Nizar	Samar Hawsawi	Linda Almakramy	Thourya Musa

Getting Started

Prerequisites

Make sure you have the following dependencies installed before running the project:

Python 3.7 or above
Flask
Pillow==5.4.1
gevent==1.4.0
gunicorn==19.9.0
keras==2.10.0
tensorflow==2.10.0
numpy

Installation

Clone the repository:

git clone https://github.com/your-username/MedAI.git

Navigate to the project directory:
```
cd MedAI
```
Install the required dependencies:
```
pip install -r requirements.txt
```

Usage

Start the Flask development server:
```
python3 app.py
```

Open your web browser and visit the following URL:

http://localhost:3000

Contact

For any inquiries or feedback, please contact us at dev.younes.ammari@gmail.com.

Website

Visit the MedAI website for more information and live demos.

Check out the live demo of the application https://medai.onrender.com.

younes-ammari/MedAI