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🚨 RoadGuard: Real-Time Accident Detection System 🚨

Welcome to our latest innovation in road safety! The RoadGuard Real-Time Accident Detection System is designed to leverage AI and computer vision to identify accidents instantly and notify the right people for timely action.

🚗 Imagine a future where AI-powered systems make our roads safer for everyone!

🎥 In this video, you’ll see:
🔸Real-Time Detection: How our system processes video feeds to detect accidents.
🔸Email Alerts in Action: Instant notifications with snapshots of the incident.
Technology in Action: A seamless blend of object detection, tracking, and automation.

🔍 Key Features:
🔹Accident detection using the YOLO object detection model.
Automated email notifications with images of detected incidents.
Built with scalability and efficiency for real-world applications.

💡 Why This Matters:
Quick accident detection can significantly reduce response times and save lives. RoadGuard provides a reliable solution for road safety challenges worldwide.

💻 Tech Stack Used:
🔹YOLO for state-of-the-art object detection.
🔹OpenCV for video processing and real-time visualization.
🔹Python for backend logic and automation.
🔹SMTP for sending automated alerts.

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#AI #RoadSafety #AccidentDetection #YOLO #ComputerVision #Innovation #Technology

👉 Connect with us for more updates:
LinkedIn: www.linkedin.com/in/mammarali
GitHub: https://github.com/Ammar-Ali234

Together, let’s build smarter and safer roads! 🚦