AI-Powered Smart Parking Optimization System

A real-time AI-driven parking system that predicts free spots, manages queues, and recommends optimal parking to reduce city congestion.

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Inspiration

Finding parking in busy cities like Baku is often inefficient and frustrating. Drivers spend a significant amount of time searching for available parking, which leads to increased traffic congestion and wasted fuel.

This project was inspired by the need to create a smarter, data-driven parking system that improves urban mobility and reduces unnecessary traffic.

What it does

This project is an AI-powered smart parking system that:

  • Shows real-time parking availability
  • Predicts how many spots will be free in the near future
  • Recommends the best parking lot dynamically
  • Allows users to reserve parking spots
  • Manages full parking areas with a queue system

The system helps users make faster and smarter parking decisions.

How we built it

The system is built using:

  • Frontend: HTML, CSS, JavaScript (Leaflet.js for maps)
  • Backend: Python with FastAPI
  • Database: SQLite

The frontend communicates with the backend through REST APIs, and the backend processes parking data and returns predictions and recommendations.

Challenges we ran into

  • Designing a real-time parking logic system
  • Handling full parking areas with queue management
  • Simulating smart city behavior without real IoT sensors
  • Integrating frontend and backend smoothly

Accomplishments that we're proud of

  • Successfully built a working full-stack application
  • Implemented real-time parking tracking
  • Developed a prediction system for future availability
  • Created a dynamic recommendation system for best parking selection
  • Designed a clean and user-friendly interface

What we learned

  • How to build full-stack applications under time constraints
  • How predictive logic can simulate AI behavior
  • Importance of user experience in smart city systems
  • How to design scalable solutions for real-world problems

What's next for AI-Powered Smart Parking Optimization System

  • Integration with real IoT parking sensors
  • Adding machine learning models for more accurate predictions
  • Developing a mobile application
  • Implementing payment and booking systems
  • Expanding to multiple city zones

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