Medical Analysis Assistant

The Medical Analysis Assistant is a holistic health companion, offering predictions for heart disease, tuberculosis detection, skin cancer classification, and expert insights through a user-friendly chat interface.

Datasets 🗃️

• Heart Disease Cleveland UCI
• Skin Cancer only HAM10000_images_part_1, .._part_2, and HAM10000_metadata.csv required
• Tuberculosis (TB) Chest X-ray Database

Setup & Installation

Prerequisites

Ensure the following are installed

• Git
• Python
• Jupter Notebook (or install the Jupyter extension on Visual Studio Code).

To set up this project locally, follow these steps:

1. Clone the repository:

git clone https://github.com/thebugged/medical-analysis-assistant.git

2. Change into the project directory:

cd medical-analysis-assistant

3. Install the required dependencies:

pip install -r requirements.txt

Running the application

1. Run the command:

streamlit run main.py

2. Alternatively, you can run the heart.ipynb,tb.ipynb, and skin.ipynb notebooks to get their respective models then run the command in 1.

The application will be available in your browser at http://localhost:8501.