Applied AI · Sustainability
Droplet
An AI water-footprint and smart-irrigation platform built on AquaCrop simulation models. National winner, Smart India Hackathon 2024.
Organisation
Smart India Hackathon 2024 — National Winner
Role
Team lead (5 members) — platform architecture
Timeline
2024
Stack
Overview
Droplet estimates the water footprint of everyday products and helps farmers make better irrigation decisions, both driven by AquaCrop simulation models. I led a five-member team through Smart India Hackathon 2024, a national-level innovation competition, where the project was recognised as a National-Level Winner among teams from across India.
Key Features
- Product water-footprint estimation that quantifies the water embedded in everyday products using AquaCrop simulation models, making an invisible cost legible to ordinary consumers.
- Farmers Corner, powered by the same AquaCrop simulation model, giving irrigation and canopy-growth guidance grounded in crop-water modelling rather than rules of thumb.
- Modular platform architecture structured so that farmer guidance and household water-use tracking stay independently extensible over a shared AquaCrop simulation backend and a common data layer.
Impact
Two very different audiences — households trying to understand their consumption and farmers deciding when to irrigate — are served by one simulation core. The architecture kept both tracks extensible without either one constraining the other, which is what let a hackathon prototype hold together as a coherent platform.