Full-stack web application using Angular, Spring Boot, and MySQL for deploying a vehicle plate detection and extraction system for Tunisian cars using a CNN-based model. Includes UI interfaces, system documentation, and database architecture for managing detection workflows.
# 🚗 Car Plate Detection Web Deployment
## 📌 Overview
This project is a full-stack web application developed using **Angular**, **Spring Boot**, and **MySQL**, created to deploy a complete vehicle plate detection and extraction system for Tunisian cars using a **CNN-based model**.
It represents the deployment and integration layer of an AI-powered recognition solution built during my internship at **Horizop Energy**.
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## 📁 Project Contents
The documentation and web folders include:
- 🖥 UI Interfaces & Screens
- 🧩 System Architecture
- 🗄 Database Schema Screenshots
- 🔧 Backend & Frontend structure
- 🚀 Deployment overview
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## 🛠 Technologies Used
- **Frontend:** Angular
- **Backend:** Spring Boot
- **Database:** MySQL
- **Model:** CNN-based vehicle plate detection
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## 🌐 Features
- Tunisian vehicle plate extraction pipeline
- Integrated full-stack architecture
- Clean documentation with visual system diagrams
- Deployment-ready structure with backend + frontend + DB
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## 🏢 Internship Project
Developed as part of my AI engineering internship at **Horizop Energy**, focused on real-world deployment of deep learning solutions.
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## 📜 License
⚠️ This project is protected under "All Rights Reserved".
Reproduction, redistribution, or modification of any part of this project is strictly prohibited.