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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Updates
  • 1. Implemented secure authentication and authorization for user access management.2.Enhanced the UI/UX to improve usability, responsiveness, and overall user experience.3.Added smooth animations and interactive components using Framer Motion.4.Developed an inventory management system with features for tracking, updating, and managing stock records.5.Optimized application performance and updated core project features based on user feedback.
    Sunday, May 31st, 2026