Vatshayan/UPI-Fraud-Detection-Using-Machine-Learning — reverse-engineered prompt

Build me a simple web app for detecting possible UPI payment fraud using machine learning. I want a clean page where a user can enter transaction details, submit them, and immediately see whether the transaction looks safe or suspicious.

Please include a machine learning workflow in a notebook, with data loading, basic cleaning, training, testing, and saving the trained model so the web app can use it. The backend should take the form input, run the prediction, and show the result in a friendly way. Keep the interface easy for a college project demo, with clear labels, a nice home page, and a result page.

Make sure the project is complete enough to run locally, with all needed files, templates, static styling, and simple instructions. Don’t overcomplicate it, but make it feel like a full final year project with real time fraud assessment and basic attention to user privacy. Look up current docs online if you need to.