May 22, 2026

Bazaar Brain - An agentic AI demand forecasting tool for street vendors in Hazratganj, Lucknow

ai genai smart agentic ai full stack groqai gdg lucknow hackathon

๐ŸŽฏ Problem Statement โ€” PS-11

"Hazratganj's iconic street market has vendors who over-stock or under-stock daily, leading to waste and lost revenue. Build an agent that reads footfall patterns, weather, local events, and social buzz to recommend optimal daily procurement."

Lucknow context: Hazratganj ยท Janpath Market

Every morning, thousands of street vendors in Hazratganj make the same high-stakes guess: how much stock should I buy today?

They have no tools. They rely on gut feel, last week's memory, and WhatsApp forwards. The consequences are real:

  • A vendor overbought potatoes on a rainy day โ€” the crowd never came, the stock rotted.
  • The next day, fearing rain again, he bought less โ€” but it was an LSG match day, the streets were packed, and he sold out by 4 PM, losing thousands in revenue.

This isn't bad luck. It's a data problem. The signals exist โ€” weather forecasts, event calendars, day-of-week patterns โ€” but no one has put them together for a Hazratganj vendor. Bazaar Brain does exactly that.

๐Ÿ’ก Solution

Bazaar Brain is a multi-page agentic web app that acts as a daily procurement advisor for street vendors. A vendor picks their stall type, customizes their item list, and the AI agent synthesizes live weather data, a Lucknow-specific event calendar, and weekly footfall patterns to produce a precise, actionable stock recommendation โ€” in English and Hindi.

The AI doesn't just answer a prompt. It reasons across multiple data signals before generating output, making it genuinely agentic rather than a simple chatbot.

 

โœจ Features

Stall Profiles Seven vendor types built around Lucknow's actual street economy โ€” Chaat Stall, Chai Tapri, Juice Corner, Flower Vendor, Bhutta Stall, Snacks & Namkeen, and Balloon Seller โ€” each with pre-loaded default inventory.

Editable Inventory Vendors can add, remove, or rename items in their stall list before forecasting. The AI uses only the vendor's actual items โ€” no generic suggestions.

Live Lucknow Weather Fetches real-time weather from Open-Meteo using Hazratganj's exact coordinates (26.85ยฐN, 80.95ยฐE) and maps conditions to footfall impact multipliers. Rain doesn't just mean "bad weather" โ€” it means 0.4x footfall for chaat but a boost for bhutta.

Lucknow Event Radar A built-in calendar of local events โ€” Lucknow Mahotsav, Navratri, IPL LSG home matches at Ekana, public holidays, and weekly footfall patterns โ€” feeds into the demand calculation before the AI ever sees the prompt.

This build was uploaded as a hackathon project

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