Parking Space Finder Project

The Parking Space Finder is a full-stack solution designed to simplify urban parking management by connecting drivers with available parking slots through an intuitive web interface and a RESTful backend. The project combines a Django-based backend API with an Angular frontend to provide real-time slot discovery, reservation, and payment flows. The backend centralizes data in a lightweight SQLite database (db.sqlite3) and exposes authenticated endpoints for user actions, while the frontend offers responsive views for browsing, reserving, and managing bookings. A Postman collection (Parking Space Finder.postman_collection.json) documents the API endpoints, enabling easy testing and integration. Architecturally, the system is modular and extensible. The backend’s api app encapsulates models, serializers, views, and permissions to support resources such as reserved slots, reserved zones, payments, feedback, and mechanic services. Migrations track schema evolution and ensure safe upgrades. The frontend is organized using Angular conventions for maintainability and separation of concerns, allowing teams to iterate on UI components independently. This separation enables horizontal scaling of components and straightforward replacement of the storage or UI layers if future needs demand it. Featurewise, the platform supports searching for nearby parking, reserving specific slots or zones, automated check-in/check-out workflows, and secure payment processing. Additional modules manage user profiles and optional mechanic-related services (profiles, requests), and there’s support for uploading and serving images for profiles and listings. Admin and operator roles are supported via permissions in the API, enabling operators to manage zones, review payments, and handle feedback. Built-in auditing and migration history help maintain data integrity and provide a clear operational trail.