AgriOS

The farm OS that sees, reasons, acts, and proves it worked.

Codex Community Hackathon - Pune

Links

Repository

github.com/umang6287/AgroOS.git

Website

frontend-pearl-eight-63.vercel.app

Demo video

agrios.youtube.com/1233

Additional info

How was your experience building with Codex?

It was a Great expirence

Describe your experience using Loops House as the hackathon platform. What worked well, what challenges (if any) did you face, and what improvements would you like to see?

These boxes are not visible well. Otherwise its a great platform to collect information. Inspiring!!

Tell us about your overall experience at Codex Community Hackathon Pune.

It was a great expirience! The locdev team is very hard working and the arrangement were great!

What could Codex Community improve to create a better experience for participants?

I think the volenteers were reallt tired at the end of the day. They should expand the group

Team

1 member

UM
Umang Mehta
Owner

Overview

AgriOS is an Autonomous Farm Operating System built for AI-native agriculture operations. It uses a multi-agent architecture to monitor synthetic farm telemetry, detect emergency conditions, analyze robot-captured leaf images, plan irrigation or inspection actions, and communicate with the farmer through WhatsApp, Telegram, emergency call alerts, and an in-app conversational AI call experience. The system includes a Farm Command Center, live sensor dashboard, agent execution timeline, crop image analysis, communication escalation, and an agent evaluation dashboard. Each agent action is traceable and evaluated using confidence, latency, estimated cost, and human-review indicators. AgriOS demonstrates how farms can evolve from manual monitoring to autonomous, multimodal, agent-driven operations.