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README.md

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 license: apache-2.0
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+Problem statement and Need for Damaged Roads Detection Model
+Object modelling for real-world road damage detection in real-time involves a comprehensive workflow. Initially, an image processing model identifies various road damages, including potholes, oil spillage, fallen trees, and emergency events. Simultaneously, the system captures geographical coordinates (latitudes and longitudes) of the detected damages. This data, along with annotated images, is processed to trigger an automated email alert to relevant government agencies. The email serves as immediate feedback, enabling swift actions for road maintenance and hazard mitigation. Additionally, the workflow incorporates anomaly detection for identifying unexpected events such as heavy metal spills or mudslides. By seamlessly integrating image recognition, geospatial analysis, and automated communication, this approach creates a context-aware system capable of addressing road infrastructure challenges promptly and efficiently. The real-time nature of the system enhances public safety and enables timely government responses to ensure road network integrity and minimize potential risks.