This is a submission for the DEV April Fools Challenge
What I Built
I built SmartCrowd AI, a cloud-based system that tracks crowd density, predicts congestion, and suggests better routes in large venues, making events smoother and safer.
Demo
https://smartcrowd-145365073250.asia-south1.run.app/predict?zone=Food Court
https://smartcrowd-145365073250.asia-south1.run.app/crowd
https://smartcrowd-145365073250.asia-south1.run.app/predict?zone=Gate A
Code
https://github.com/krithikgokuls/SmartCrowd-AI-System-using-Cloud-Run
How I Built It
I built SmartCrowd AI using Python with Flask for the backend API, containerized the application using Docker, and deployed it on Google Cloud Run for scalability. The system provides real-time crowd data and predictions through REST APIs, which can be accessed by a web or mobile interface.
Prize Category
Best Google AI Usage
This project uses Google Cloud services like Cloud Run to build a scalable, real-time system and demonstrates how AI-based predictions can improve crowd management and user experience in large venues.
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