Real-time Women Safety Monitoring System

Inspiration

Trigger Detection - Button press
- Abnormal heart rate
- Screaming / SOS gesture
- Camera visual detection

2️⃣ Data Processing - Send media to Rekognition
- Lambda evaluates threat level

3️⃣ Alert Generation - Lambda → SNS sends alerts with: • Name
• GPS link
• Captured media
• Timestamp

4️⃣ Data Logging - Save incident in DynamoDB

5️⃣ Device Communication - IoT Core connects edge devices to AWS securely 🧠 Bonus Features markdown Copy Edit 🗣️ Voice command ("Help Me")
🧭 Geo-fencing unsafe zones
🫳 Accelerometer-based SOS gesture
📞 Integration with 112 (India Emergency Services)

Real time woman safety montoring

Develop a wearable edge device or mobile app integrated with AWS cloud services that:

Detects danger through gesture/voice/visual recognition. Captures short video or audio evidence. Sends live GPS location.

Triggers alerts to family, friends, and police via SMS/email.

☁️ Core AWS Services & Roles: Service Function in the System Amazon Rekognition Analyze video/images to detect threats (e.g., weapon detection, aggression, known offenders). AWS Lambda Backend logic for triggering alerts, processing events, and connecting services. Amazon SNS Send real-time notifications to emergency contacts and authorities. Amazon DynamoDB Store user details, emergency contacts, alert history, threat patterns. AWS IoT Core Enable communication between edge devices (wearables or mobile sensors) and AWS cloud