Team and Mentors
Rahul Raj
Abhigyan Deka
Prachi Jain (Staff UX Designer and Manager)
Vijay Karthik (Sr. UXD @google)
My role
Empathize & Define
Ideate & UI design
Test & Iterate
Impact Analysis
Duration
4 weeks
Overview
Description of the problem: A System Designed
to Prevent Corruption, Now Creating Exclusion
Take-Home Ration distribution originally relied on pen-and-paper records. To address corruption, the government introduced the face-tracking based Poshan Tracker app. However, this top-down digital intervention failed to account for on-ground realities such as poor connectivity, low digital literacy, and infrastructure gaps. As a result, it has introduced major accessibility and usability challenges, causing beneficiary exclusion and ration wastage across 14.3 lakh Anganwadi centres undermining the program’s core objective of nutrition delivery.
Project goal
Design an AI driven ration distribution system that provides inclusive access and efficient verification for beneficiaries at grassroots Anganwadi centers.
Setting out to solve
Analysing the current experience and why it is not working?
We benchmarked the current poshan tracker app
Defining the challenge with a field visit
We interviewed 20+ anganwadi worker to understand the exact painpoints
Goals
To be able to teach students without distraction To spend minimum time in ration distribution To give proper nutrition to children and new mothers
Pain Points
1. Rigid facial recognition requires exact pose/conditions, causing frequent authentication failures. 2. In-person collection only excludes vulnerable groups like pregnant women, the elderly, and the sick. 3. OTP failures or phone number changes block eligible families from accessing rations. 4. No fallback when tech fails, leading to ration scarcity for some and surplus/wastage for others.
Reema
Anganwadi Worker | Age 35
Possible Solution
Based on the field study and some discussion with our mentors. We came up with the how might we approach for this problem
How might we leverage technology and automation to remove the
logistical burden of ration distribution and cut down ration wastage,
increasing Anganwadi Worker’s daily productivity?
The solution
Let's go crazy 8
we come up with few ideas and priortize it
Solution 1
Introducing conversational AI for beneficiaries
After realizing that 87% of beneficiary homes have decent internet and smartphones, we decided to allow them to register and pre-plan their THR visits. The easiest way to do this will be a voice assistant that generates a dynamic QR ticket usable by anyone in the family.
Solution 2
Emily's E-commerce Success
Emily, the CEO of BloomTech, transformed their marketing efforts using AI-powered tools. This shift resulted in a 60% increase in ROI and a 45% improvement in customer personalization, leading to a surge in brand loyalty
Conversational AI interacts with beneficiaries via mobile or WhatsApp to generate QR-based ration tickets, confirm pick-up slots, and provide instructions
Designs
Introducing poshan tracker 2.0
beneficiary flow
we come up with few ideas and priortize it
AWW flow
we come up with few ideas and priortize it
Prototype
User testing & impact
Testing with the AWW
I remotely tested our solution with some AWWs, and they were delighted with what they saw.
quantitative impact
we come up with few ideas and priortize it
Guru's feedbacks and hackathon winning moment
Our team emerged as the winners 🏆 of the Google AI Hackathon 2025, with a final score of 86.5%, among 250+ students across India.
