HealthTech & Life Sciences HackhatsSubmitted July 18, 2026

Farming Ai assist

An MCP app on the Model Context Protocol built by Hackhats at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

FarmAssist AI is an AI-powered crop health assistant that helps farmers identify crop diseases using crop type, symptoms, images, location, and optional soil data. It provides disease diagnosis, confidence scores, treatment recommendations, prevention strategies, and environmental insights through an intuitive interface, enabling faster and more informed farming decisions.

HealthTech & Life Sciences track

Design AI-powered solutions for healthcare, diagnostics, patient care, medical research, and life sciences.

Live MCP appSource code

Team Hackhats

  • Adarsh SriramLead

  • Sanjith G

  • Harikrishnan Nallur

  • Abishekk k

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Frequently asked questions

What does Farming Ai assist do?
FarmAssist AI is an AI-powered crop health assistant that helps farmers identify crop diseases using crop type, symptoms, images, location, and optional soil data. It provides disease diagnosis, confidence scores, treatment recommendations, prevention strategies, and environmental insights through an intuitive interface, enabling faster and more informed farming decisions.
Who built Farming Ai assist?
Farming Ai assist was built by team Hackhats at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon, in the HealthTech & Life Sciences track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.