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Smart Traffic & Accident Prediction System
Developed an AI-powered traffic management dashboard that analyzes real-time traffic conditions, predicts congestion levels, and estimates accident probabilities using machine learning techniques. The system provides live traffic monitoring, intelligent signal control, predictive analytics, and automated alerts to improve traffic flow and road safety.
The dashboard visualizes vehicle density, average speed, congestion levels, and accident risks through an interactive and user-friendly interface. This project demonstrates my skills in AI, data analytics, full-stack development, and real-time dashboard design.
Key Features
• Real-time traffic monitoring and analytics
• AI-based congestion prediction
• Accident probability forecasting
• Intelligent traffic signal management
• Automated traffic alerts and notifications
• Interactive dashboard with data visualization
• Responsive and modern user interface
Technologies Used
Python, Machine Learning, React.js, Node.js, MongoDB, Chart.js, JavaScript
My Role
AI & Full Stack Developer – Designed the dashboard, implemented machine learning models, developed frontend and backend components, and integrated real-time traffic analytics.
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