DermatoBot

It 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.

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

Getting Started

Prerequisites

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

• Python
• Flask
• Pillow
• gevent
• gunicorn
• keras
• tensorflow
• numpy

Installation

1. Clone the repository:

   git clone https://github.com/your-username/DermatoBot-SIH-1344.git
   

2. Navigate to the project directory:

   cd DermatoBot-SIH-1344
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

Usage

• Start the Flask development server:

  python app.py
  

Open your web browser and visit the following URL:

• http://localhost:3000