Personal Note: This repository is a fork of the origninal project developed during my time at Monash Univeristy. My contributions were made under my student GitHub account yche0323 (https://github.com/yche0323).

Cardio Vision AI

Cardio Vision AI is a web application that utilizes a deep learning model for cardiovascular disease predictions.

Backend

Setup

1. Navigate to the backend directory:

   cd cardio-vision-ai/backend

2. Install the necessary dependencies:

   npm install
   
   *move tensorflow.dll from node_modules\@tensorflow\tfjs-node\lib\napi-v9 to napi-v8

3. Create a .env file with the following layout:

   MONGO_URI="your_mongo_atlas_uri"
   JWT_SECRET="your_jwt_secret_key"
   MODEL_PATH="path_to_your_trained_model"
   

Running the Backend

To start the backend server, run:

npm start

Frontend

Setup

1. Navigate to the frontend directory:

   cd cardio-vision-ai/frontend

2. Install the necessary dependencies:

   npm install

Running the Frontend

To start the frontend development server, run:

npm start

This will launch the web application in your default browser.