Road Damage Detection and Alert System

Overview

The Road Damage Detection and Alert System uses Convolutional Neural Networks (CNNs) to identify and classify road damage from images. The system automatically sends alerts to users via a messaging service when damage is detected. This project aims to enhance road safety and maintenance efficiency by providing timely notifications about road conditions.

Features

• Road Damage Detection: Utilizes CNNs to analyze and detect road damage from images.
• Classification: Classifies the type and severity of damage.
• User Alerts: Sends real-time alerts to users through a messaging service (e.g., SMS, email).
• Dashboard: Provides a web-based dashboard for viewing detected damage and alerts.

Table of Contents

1. Installation
2. Usage
3. Configuration
4. Training the Model
5. Usage
6. Contributing
7. License

Installation

Prerequisites

• Python 3.6 or higher
• Pip

Install Dependencies

Clone the repository:

git clone https://github.com/NeelM47/Road_Damage_Detection.git
cd road-damage-detection