CV-Detect

CV-Detect is a web application designed for predicting cardiovascular diseases using machine learning models.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Contributing
• License

Introduction

CV-Detect is a Django web application that leverages machine learning models to predict the likelihood of cardiovascular diseases based on input data. The project's primary goal is to assist healthcare professionals in making informed decisions about potential cardiovascular issues.

Features

• Machine Learning Prediction: Utilizes advanced machine learning algorithms to provide accurate predictions.
• User-friendly Interface: Designed with a user-friendly interface to ensure ease of use for healthcare professionals.
• Responsive Design: Ensures a seamless experience across various devices, including desktops, tablets, and smartphones.

Installation

Follow these steps to install and set up CV-Detect locally:

git clone https://github.com/your-username/cv-detect.git
cd cv-detect
# Set up virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
pip install -r requirements.txt
# Additional steps if any