AI-based Medical Laboratory

Project Overview

The AI-based Medical Laboratory project aims to revolutionize laboratory medicine through the use of artificial intelligence (AI) and machine learning (ML). By enhancing the precision and speed of laboratory processes, the project seeks to reduce human errors, cut costs, and ultimately improve patient outcomes and satisfaction.

Features

• Customer Module: Allows patients to submit samples and receive results.
• Doctor Module: Provides doctors with tools to analyze lab results and make informed decisions.
• Lab Assistant Module: Assists lab technicians with managing samples and running analyses using AI/ML tools.

Pros and Cons

Pros

• Enhances precision and speed of laboratory medicine.
• Reduces human errors and operational costs.
• Improves patient outcomes and satisfaction.

Cons

• Challenges with data quality and availability.
• Requires significant computing power.
• Issues of trust, acceptance, and the need for education.

Technologies Used

• Frontend: React, Redux, HTML, CSS, JavaScript
• Backend: Node.js, Express, MongoDB
• AI/ML Tools: Python, R, TensorFlow, PyTorch, scikit-learn, pandas, NumPy, matplotlib, seaborn

Project Structure

The project is structured into two main directories:

• frontend: Contains the frontend code built with React.
• backend: Contains the backend code built with Node.js and Express.

Installation

Prerequisites

• Node.js and npm installed on your machine.
• MongoDB installed and running.

Steps

1. Clone the repository

   git clone https://github.com/your-username/ai-medical-lab.git
   cd ai-medical-lab

2. Install dependencies for backend

   cd backend
   npm install

3. Install dependencies for frontend

   cd ../frontend
   npm install

4. Set up environment variables

   • Create a .env file in the backend directory and add the following:

   MONGO_URI=your_mongodb_uri
   PORT=5000

5. Run the backend server

   cd ../backend
   npm start or nodemon

6. Run the frontend server

   cd ../frontend
   npm start

Usage

• Access the application at http://localhost:5173.
• Use the frontend interface to interact with the different modules (Customer, Doctor, Lab Assistant).

Contributors

• Abdul Wahab - Full Stack Developer
• Nafeesa Shehzadi - Frontend Developer

Collaboration

We welcome contributions from everyone! If you are interested in contributing to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add new feature').
5. Push to the branch (git push origin feature-branch).
6. Create a Pull Request.

For major changes, please open an issue first to discuss what you would like to change.

Feel free to reach out to us with any questions or suggestions. Let's collaborate to extend the exposure and impact of this project!

License

This project is licensed under the MIT License.