CODE-CATALYST

Our Track: HEALTHCARE

HEALTHCARE.AI: AI-Powered Diagnostic System

AI-powered diagnostics is a field of healthcare that utilizes artificial intelligence (AI) and machine learning algorithms to assist healthcare professional in diagnosing medical conditions and diseases. The goal of AI-powered diagnostics is to enhance the accuracy, speed, and efficiency of the diagnostic process, ultimately leading to improved patient outcomes and more effective healthcare delivery.

Table of Contents

• About the Project
• Getting Started
• Features
• Installation
• Usage
• Contributing
• Contact

About the Project

Healthcare.AI aims to address the challenges faced in medical diagnostics by leveraging cutting-edge AI technologies. Our system is designed to assist medical professionals by providing advanced diagnostic insights, allowing them to make informed decisions quickly and accurately.

Getting Started

Follow these steps to set up and run Healthcare.AI:

1. Ensure you have Python installed. We recommend using Python 3.7 or later.
2. Clone this repository to your local machine.
3. Open a terminal and navigate to the project directory.
4. Set up a virtual environment: pip install virtualenv virtualenv env
5. Activate the virtual environment (on Windows PowerShell): .\env\Scripts\Activate.ps1
6. Install required packages: pip install flask flask_cors
7. Run the application: python app.py
8. Access the application via your browser at https://healthcare-ai-p5ax-evn8tf0lw-dev-spd.vercel.app/.

Features

• AI-assisted Medical Diagnostics
• Fast and Accurate Disease Identification
• User-Friendly Interface
• Real-time Data Analysis

Installation

Detailed instructions on setting up the application can be found in the Getting Started section.

Usage

1. Open your browser and navigate to http://localhost:5000.
2. Upload relevant medical data or input symptoms.
3. Receive real-time diagnostic insights powered by AI algorithms.

Contributing

We welcome contributions from the community. To contribute to Healthcare.AI, follow these steps:

1. Fork the repository.
2. Create a new branch for your feature: git checkout -b feature-name.
3. Commit your changes: git commit -m "Description of changes".
4. Push to your branch: git push origin feature-name.
5. Open a pull request.

Contact

Have questions or feedback? Contact us at h3althcar3.ai@gmail.com.