🚦 Road-Sense AI: Smart City Surveillance Hub

"The Eye of the Smart City."

Road-Sense AI is a real-time computer vision dashboard designed for urban traffic management. It analyzes video feeds (CCTV/Dashcam) to track vehicle density, classify road users (Cars, Trucks, Pedestrians), and detect safety hazards in real-time using YOLOv8.

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🚀 The Problem

• Congestion: Cities lack real-time data on traffic flow.
• Safety: Pedestrians walking on main roads are often missed by static cameras.
• Data Gap: Urban planners make decisions based on old surveys, not live reality.

💡 The Solution

A "Cyberpunk-style" Analytics Dashboard that provides:

1. Automated Counting: Live metrics for Light Vehicles vs. Heavy Vehicles.
2. Risk Detection: Instantly flags pedestrians in unsafe zones (Red Alert).
3. Visual Analytics: A futuristic overlay for monitoring stations.

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🛠️ Tech Stack

• Core AI: YOLOv8 (Object Detection & Classification).
• Visualization: Streamlit (Python) with Custom CSS Animations.
• Processing: OpenCV & CVZone for bounding box rendering.
• Interface: Real-time metrics and dynamic "Dark Mode" UI.

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📸 Demo

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⚙️ How to Run

1. Clone the Repo

   git clone [https://github.com/praannav/Road-Sense-AI.git](https://github.com/praannav/Road-Sense-AI.git)

2. Install Requirements

   pip install -r requirements.txt

3. Launch Dashboard

   streamlit run app.py

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👨‍💻 Author

Praannav Computer Engineering | AI Specialist