Inspiration
The need for proactive safety systems that predict and prevent, rather than just react. Vision of building smarter, safer cities using AI and IoT.
What it does
Uses AI-powered smart surveillance to detect suspicious behavior, weapons, accidents, and fire hazards. Provides real-time anomaly detection and alerts authorities instantly.
How we built it
Computer Vision & Deep Learning (CNN, YOLO): For behavior, weapon, and anomaly detection. IoT & Edge Devices: For real-time monitoring of public areas. NLP: AI assistant for multi-language emergency guidance.
Challenges we ran into
Handling privacy concerns while using surveillance data. Reducing false positives in anomaly and threat detection. Integrating real-time AI on edge devices with limited processing power.
Accomplishments that we're proud of
Developed a working prototype for real-time anomaly detection. Designed a predictive safety model that highlights crime-prone zones. Built a mobile app with AI-verified reporting and safe navigation.
What we learned
Practical applications of AI/ML in public safety and surveillance. Importance of ethical AI and handling sensitive data responsibly
What's next for AI-Driven Public Safety Guardian
Expanding to predictive disaster management (floods, earthquakes, wildfires). Integration with autonomous drones for live monitoring.
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