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.

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