AegisAI is a Next.js-based project aimed at enhancing personal safety, particularly for women, through AI-powered SOS alerts, geofencing, real-time safety tracking, and wearable technology integration.
- AI-Based Predictive Analytics: Identifies high-risk areas and times for proactive safety.
- Smart Wearables with SOS Alerts: Discreet wearables that automatically trigger alerts in distress situations.
- Anti-Trafficking Smart System: AI-powered scanning to detect potential trafficking activities.
- Voice-Activated Emergency Commands: Hands-free SOS triggering using voice commands.
- Safe Route Recommendations: AI suggests safer travel routes based on crime data.
- Geo-Fencing & AI-Driven Safety Tracker: Monitors user travel patterns and triggers alerts when outside defined safe zones.
- Health-Related Assistance: Connects users to nearby healthcare facilities or sanitary services in emergencies.
- Next.js: Web app framework for the front end.
- React Native: For mobile app development.
- NodeMCU: Microcontroller for wearable device integration.
- Flask API: Backend for processing SOS alerts and communication.
- TensorFlow / PyTorch: Machine learning for predictive safety analytics.
- Google Maps API: Real-time location tracking and geofencing.
- Google Speech-to-Text: Voice recognition for emergency commands.
##using our own deplaoyed ML-model api for situation and scenario based route prediction by giving it a roadSafety Score. ['https://testmapmlapi.onrender.com/predict_safety'] and other hosted APIs
This is a Next.js project bootstrapped with create-next-app.
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev