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Team Kaal Bhairav

Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

Team Kaal Bhairav — Demo video

DukaanIQ is an AI powered billing and shop management website made for Indian retail shops, from a single counter store to a few branches in different cities. Most shopkeepers lose sales to empty shelves, lock their money in slow-moving stock and set prices by guesswork, and they rarely have time to sit and read reports. DukaanIQ puts everything in one place: fast POS billing with GST and a fresh UPI QR on every bill, live stock tracking, purchase orders with supplier scores, pricing, customer and udhaar records, and GST accounts with a GSTR1 file. Inside it sits an AI Business Copilot that reads the shop’s own sales and stock data and tells the owner what to reorder, where to change a price and which customers matter the most. It even drafts the purchase order, so the owner only has to check and send. What makes it different is that most billing apps only record what has already sold, while DukaanIQ looks ahead and warns before the shelf goes empty. Every suggestion comes with a reason, all GST calculations run on fixed code instead of AI guesses so tax numbers stay correct, and the AI only drafts while the owner always approves. The AI layer is powered by Gemini Flash together with the Meta API, and the app is built with Google AI Studio and hosted on Google Cloud, so it runs in the browser on a counter PC, tablet or phone. The prototype is live and currently runs on demo data for a Delhi flagship shop, and the next steps are an AI voice agent for tracking orders, a reorder history page, integrations with tools like Tally Prime, Zoho Books and Razorpay POS, and a pilot with real Indian shops.

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