Women Safety Analytics – Protecting Women from safety threat
Link to open source: https://github.com/priyanshu-guptaji/Women-safety
The purpose of Women Safety Analytics – Protecting Women from Safety Threat is to build an intelligent, proactive safety system that automatically detects potential physical threats using real-time video analysis and instantly triggers emergency alerts without requiring manual user intervention.
Unlike existing solutions that rely on panic buttons or post-incident CCTV review, this project aims to act as an intelligent guardian that recognizes danger as it begins, silently dispatches SOS alerts with live location data to emergency contacts and authorities, and enables faster, coordinated intervention to prevent escalation of violence.
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Enable Proactive Threat Detection
Use AI-driven real-time video analytics to recognize aggressive gestures, struggle, and abnormal behavior before harm escalates. -
Eliminate Dependence on Manual SOS
Ensure help is triggered automatically even when the user cannot unlock their phone or press a button. -
Minimize False Alerts
Implement multi-signal verification (video + audio + wearable signals) to increase reliability and reduce false positives/negatives. -
Accelerate Emergency Response
Instantly share GPS location, time, and incident context with family members and the nearest police control room. -
Support Law Enforcement with Actionable Intelligence
Provide a real-time dashboard showing active alerts, victim details, and optimal response routes for faster dispatch. -
Continuously Improve Accuracy
Use post-incident feedback and anonymized data to retrain models and enhance detection performance. -
Create Safer Public Spaces at Scale
Build a scalable, lightweight system that can integrate with smart city infrastructure and national safety platforms.
This build was uploaded as a hackathon project


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