The Road Health Monitoring Project is a state-of-the-art infrastructure monitoring system that aims to enhance road safety and streamline maintenance operations. It leverages modern technology, including cameras, IoT sensors, and machine learning algorithms, to continuously assess and report the condition of road networks in real-time. This README provides an overview of the project, its key features, installation instructions, usage guidelines, and more.

• Real-time Data Collection: Continuous monitoring of road conditions through a network of sensors and cameras.

• Machine Learning-Based Defect Detection: Utilizes advanced machine learning models to detect and categorize road defects, such as potholes, cracks, and surface wear.

• Predictive Maintenance: Predicts potential road failures and recommends maintenance schedules, leading to cost savings and efficient resource allocation.

• Real-time Alerts: Sends instant alerts to relevant authorities when critical issues are detected, allowing for swift response and intervention.

• Historical Data Analysis: Maintains an extensive archive of historical road health data for trend analysis and long-term infrastructure planning.

To get started with the Road Health Monitoring Project, follow these steps:

1. Clone the Repository: Begin by cloning this repository to your local machine.

2. Install Dependencies: Install the required dependencies listed in the requirements.txt file. We recommend setting up a virtual environment for isolation.

3. Configure Sensors and Cameras: Deploy a network of sensors and cameras along the road network to start data collection.

4. Run the Application: Execute the application to begin collecting and analyzing road health data. Configuration and usage details can be found in the provided documentation.

This project is licensed under the MIT License. You are encouraged to fork and customize this project to meet your specific requirements.

• GURUAKASH SM

We'd like to express our gratitude to the contributors, libraries, and tools that have played a crucial role in the development of this project. Please see the ACKNOWLEDGMENTS.md file for a list of acknowledgments.

For inquiries and support, please contact our project team at [[email protected]].

Feel free to customize this README.md file to include specific details about your project, contributors, and acknowledgments.