AjayGhadage/Agritech ? reverse-engineered prompt

Build me a simple Agritech web app that helps farmers manage basic farm info and get useful guidance from a small ML powered service.

I want a clean frontend where a user can enter crop or field details, see the results clearly, and browse a few useful pages like a dashboard, an advice or prediction screen, and a basic contact or about page. The backend should handle the app logic and connect the frontend to the ML service. The ML part should take input from the user and return a practical result or recommendation in plain language.

Make the whole thing work as one project with the frontend, backend, and ML service talking to each other properly. Set it up so it runs locally without much hassle, and make sure it is ready for deployment too. If anything about current best practices or setup details is unclear, look up the latest docs online and fill in the gaps.