Problem 3: Gate Density Analysis
Link to open source: https://github.com/authenticryan/BWAI-APL-DELHI
Link to Live Project: https://bwai-apl-delhi.vercel.app/
Hi Judges 👋
I've pursued problem statement 3: people density analysis at gates, to optimise crowd flow patterns. I've executed on the full vertical — cricket is something people lose sleep over. So just identifying which gate to enter isn't enough. Let's simplify the entire journey: from leaving your house, identifying which gate to enter, getting to your seat once inside, finding the nearest washroom, ordering food, and staying connected with the crowd in the stadium via real-time chat.
As the selection is based on 3 criteria, here's how this app maps to each:
Innovation: I always bet on full vertical integration. To analyse gate density, two options to count people in the queue: (1) VOIP cameras per gate, shipped & installed 2–5 days pre-match, 3 cameras per gate, each capturing ~100 people in queue. (2) Laser scanners — one at queue start, one at entry. Laser scanners win. Cameras fail in rain or low light, making them unreliable. Scanners work in all conditions.
Impact: People lose sleep over these matches. This app owns the full experience — from leaving home → finding your gate → getting to your seat → ordering food → staying connected with your fan base. One app, end to end.
Execution: Vibe-coded in 3 hours. Covers authentication, ticket booking, gate navigation, seat mapping, nearest washroom, food ordering, and live tournament chat. Next step: plug in laser sensors or camera feed for real-time density count.
Good hackathon. 🏏
