Allergy prediction and recommendation system

I developed a web application that provides predictions using machine learning models. The frontend was built with React.js, HTML, and CSS for a user-friendly interface. Users can input data through the frontend, which is sent to a Flask backend hosted on AWS using Firebase Authentication for user management.

The Flask backend handles prediction requests by utilizing machine learning models trained on AWS. The predictions are then sent back to the frontend and displayed to the user. Additionally, the application is hosted on a GoDaddy server for accessibility.

Overall, the application seamlessly integrates machine learning, Flask, Firebase for user authentication, AWS for model training and hosting, GoDaddy for server hosting, and a frontend built with React.js, HTML, and CSS.