A Unified Multi-Modal Framework for Crop Stress Detection: Combining Tabular Environmental Data and Leaf-Image Classification
Published Research · Peer-Reviewed
The Story
Ship first. Refine in public.
I'm an AI/ML developer and researcher, studying B.Tech AI/ML at D.Y. Patil International University. I build full-stack products solo — frontend, backend, and the AI that powers them — and I've published research on crop stress detection, with more on the way. The through-line: take the idea that isn't supposed to be out yet, and put it in front of people.
- 01
Ship before it's polished
A working prototype teaches more than a perfect plan. I build in the open and fix in public.
- 02
Own the whole stack
Frontend, backend, and the AI in between. When I own every layer, nothing gets lost in a handoff.
- 03
Research has to run
A paper only matters if the idea works. I turn research into tools people can actually use.
- 04
Always in motion
Every project is a step toward the next one, and there's always another one coming.