Turns four ML pipelines into one decision a farmer can act on in seconds.

Aether unifies soil-moisture forecasting, crop-disease diagnosis, crop recommendations, and live market prices into a single interface — no data-science background required. I designed the district- and crop-level query flows and built the frontend end-to-end, running live against a real backend with zero mock data.

Replaced scattered WhatsApp groups and Drive links with one hub for 20+ universities to reuse.

Sole designer and developer on a centralized platform for notes, PYQs, and curated resources. Built on a white-label architecture with 20+ modular components, so any university can deploy it with minimal setup — designed for scale from day one, not just for one campus.

Real-time credibility scoring for news, with a UI that makes AI bias-detection legible to anyone.

An AI platform scoring credibility and flagging bias across 5 articles at once, with distinct experiences for general readers versus journalists. I designed the UI/UX layer that translates raw AI outputs — manipulative-technique tags, bias signals — into something a non-technical reader can actually trust and use.