Diagno Future

Our project is a disease prediction web application called "Diagno Future" that leverages machine learning (Random Forest model) to predict diseases based on user-provided symptoms. The project features a multi-page frontend developed with HTML and CSS, including pages like main landing page, about the project and contact information of the development team. The application’s core functionality is built in Python using Flask, where users can input symptoms, and the backend processes these inputs to predict a disease from a pre-trained model. The project integrates static assets like images and CSS, while ensuring seamless navigation between the pages. Despite working well on a local Flask server, CSS linking and Python integration are causing challenges when deploying the project to GitHub Pages. Solutions involve restructuring paths for proper asset linking and deploying to a suitable cloud platform or service for backend support.