AgriAdvisor AI.
Field data, crop choices, and leaf diagnostics brought together in one practical dashboard.
01 / The experience
A closer look.
Actual screens.
From the idea to the interface.
Start with the field
The advisory dashboard collects farming inputs and introduces the available tools.
02 / Behind the build
The thinking
underneath.
What it does
A machine learning platform that translates field inputs into crop recommendations, soil insights, and leaf-based disease diagnostics. An extension directory also connects the experience to agricultural training resources.
How it comes together
Scikit-Learn models support crop recommendation and soil analysis, while TensorFlow powers image-based disease detection. Streamlit brings the models, crop ledger, and resource directory into a single interface.
Hosted on Streamlit Cloud. The first load may take a little longer.