Healthcare is one of the most critical aspects of human life, and early detection of diseases can significantly improve treatment outcomes. This project, Disease Analysis using Flask and HTML/CSS, aim
The Disease Analysis Web Application is a Flask-based system designed to predict potential diseases based on user-input symptoms. The project utilizes Machine Learning models to analyze symptoms and provide disease predictions, helping users make informed health decisions. The web interface is built with HTML, CSS, and JavaScript, making it accessible and easy to use.
This project aims to bridge the gap between healthcare and technology by providing an early warning system for diseases. While it does not replace medical consultation, it serves as a preliminary diagnostic tool that encourages users to seek professional advice if needed.