Heart Health Manager

Hackathon Project for Hack::Peel 2022

Cardiovascular diseases are the leading cause of death globally. In response, we developed Heart Health Manager, a web application designed to help reduce the risk of heart disease using machine learning.

Demo

Click below to see a demo of the app and our pitch for Hack::Peel 2022. Also check out our devpost for more info.

Key Features

• Stroke Prediction Model: Trained on Kaggle stroke data, our custom machine learning model uses Scikit Learn to predict stroke risk based on user inputs.
• User Data Management: A SQL database stores user information securely, ensuring efficient access and retrieval.
• Web Interface: It is built with HTML, CSS, and JavaScript and provides an intuitive and responsive front-end for users to interact with the application.

Technologies Used

• HTML, CSS, JS: For designing the front end.
• Machine Learning: Custom stroke prediction model using data from Kaggle and trained with Scikit Learn.
• SQL: For organizing and storing user data.
• Flask: To integrate the machine learning model and database with the website's backend.

Installation and Setup

Prerequisites

• Python

Steps to Run

1. Clone the repository.
2. Navigate to the project directory and run main.py: """ python main.py """
3. Open a browser and visit: http://127.0.0.1:5000/
4. The home page of the Heart Health Manager web application should now be displayed.