🚨 CrowdMindAI - Smart Public Safety System

Feedback form link https://docs.google.com/forms/d/19i9JVj_1ZKKFbvS9FcEiua7HCZ01mS7Q3eYfWtBMN80/edit#responses

📌 Project Overview CrowdMindAI is an AI-based smart surveillance system designed to detect dangerous situations like violence, weapon presence, and abnormal crowd behavior in real-time using computer vision.

The system uses YOLO-based object detection and a custom risk analysis engine to generate instant alerts and improve public safety.

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🎯 Features

• Real-time person detection
• Weapon detection (knife, etc.)
• Crowd behavior monitoring
• Risk level analysis (Low / Medium / High)
• Live alert generation
• Incident logging system
• Live status tracking using JSON
• Demo video support for presentation

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🧠 Tech Stack

• Python
• OpenCV
• YOLOv8 (Ultralytics)
• Flask (if used in app)
• NumPy
• JSON / CSV logging

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📂 Project Structure

• app.py → Main application
• alert_engine.py → Generates alerts
• risk_engine.py → Calculates risk level
• person_detection.py → Detects people & objects
• logger.py → Stores incidents
• live_status.json → Real-time status data
• incident_log.csv → Event logs
• yolov8s.pt → AI detection model

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⚙️ How to Run

# Install dependencies
pip install -r requirements.txt

# Run the project
python app.py