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

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

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.

• 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.

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

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