

AI for fair and accessible nutrition for mother and child.
30%
Wastage ration
saved
Recovering ₹14,220 crore from the government.
7cr+
Hours
Time saved for AWW workers, allowing them to invest it elsewhere.
1st
Winner
Our team emerged as the winner of the Google UX Hackathon, among 250+ participating students.
Mentors and Team Members
Prachi Jain
Vijay
Rahul Raj
Abhigyan Deka
My role
Empathize & Define
Ideate & UI design
Test & Iterate
Impact Analysis
Duration
4 weeks
An AI-assisted, role-based app for AWWs and beneficiaries (children under 6, pregnant and lactating mothers), enabling secure ration access, nutrition tracking, and simplified service flows for efficient delivery.
My contribution in the hackathon
Worked closely with Abhigyan and Rahul, collaborating through rapid research, prototyping, and testing to deliver an impactful solution within a 4 weeks hackathon.
Led primary research & problem discovery: field visit to Saursal, interviews with 25+ Anganwadi workers, synthesizing insights into final problem statement.
Designed core user flows, wireframes, and high-fidelity screens
Built functional prototype and supported interaction design decisions
Conducted remote usability testing with 3 Anganwadi workers, analyzed feedback, and iterated
Calculating success matrix and impact
Solution screens


Here's the Figma prototype. Take a look.
Impact

Award & Feedback
Our team emerged as the winners 🏆 of the Google AI Hackathon 2025, with a final score of 86.5%, among 250+ students across India.
