Women Safety Smartwatch System

A compact, wearable safety system designed to monitor biometric data in real-time and trigger emergency alerts. It connects via Bluetooth to compatible smartwatches to track vital metrics and detect potential distress patterns, aiming to enhance personal safety, particularly for women.

🌟 Features

• Real-time Health Monitoring: Tracks heart rate, step count, and battery status.
• Emotion Detection: Analyzes biometric data to classify emotional states.
• Emergency Alert System: Sends automatic SMS alerts via Twilio.
• Watch Removal Detection: Identifies unexpected device removal.
• Bluetooth Device Discovery: Scans and connects to BLE-supported smartwatches.
• Location Tracking: Includes GPS coordinates in alerts.
• Historical Data: Stores and displays past sensor readings.
• Web Dashboard: Centralized dashboard for real-time monitoring and device management.

🏗️ System Architecture

women-safety-system/
├── backend/                 # Flask API server
│   ├── app.py              # Main Flask application
│   └── app/
│       ├── alerts/         # SMS and emergency alert services
│       ├── routes/         # API endpoints
│       └── services/       # Core logic for sensor/emotion handling
├── frontend/               # React-based monitoring dashboard
│   └── src/
│       └── components/     # UI components
├── scripts/                # Bluetooth + sensor utilities
│   ├── watchdetails.py    # BLE smartwatch connector
│   ├── discover_devices.py # Bluetooth scanning tool
│   └── detectemotion.py   # Emotion classification
└── README.md

🚀 Quick Start

Requirements

• Python 3.8+
• Node.js 16+
• Bluetooth-enabled device
• Twilio account
• BLE-compatible smartwatch

Backend Setup

pip install flask flask-cors bleak twilio geocoder
cd backend
python app.py  # Runs at http://localhost:5000

Frontend Setup

cd frontend
npm install
npm run dev  # Runs at http://localhost:5173

Connect Smartwatch

cd scripts
python discover_devices.py  # Find your watch
python watchdetails.py      # Connect and start reading

Update the MAC_ADDRESS in watchdetails.py accordingly.

📱 Supported Devices

• Mi Band series
• Honor Band
• Samsung Galaxy Watch
• Fitbit
• Generic BLE fitness trackers

BLE UUIDs:

• Heart Rate: 0000180d
• Battery: 0000180f
• Step Counter: Custom UUIDs

🔧 API Endpoints

Endpoint	Method	Description
/scan	GET	Discover Bluetooth devices
/connect/<device_id>	POST	Connect to a smartwatch
/history	GET	Fetch past sensor data
/api/alerts	GET	View recent emergency alerts
/check_health	POST	Analyze sensor readings

🚨 Emergency Detection Logic

• High HR: >120 BPM → Stress signal
• Low HR: <60 BPM → Medical risk
• Rapid Step Count: Running or fleeing
• Watch Removed: Disconnected unexpectedly
• Inactivity: Long pause with high HR

Alert Flow

1. Evaluate biometric data
2. Trigger SMS via Twilio
3. Attach GPS location
4. Log incident in SQLite database
5. Notify via frontend dashboard

🗃️ Database Schema (SQLite)

sensor_data

CREATE TABLE sensor_data (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    timestamp DATETIME DEFAULT CURRENT_TIMESTAMP,
    heart_rate INTEGER,
    step_count INTEGER,
    battery_level INTEGER,
    device_id TEXT,
    emotion TEXT
);

alerts

CREATE TABLE alerts (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    message TEXT NOT NULL,
    timestamp TEXT NOT NULL,
    status TEXT NOT NULL
);

🧠 Emotion Classifier

• Stressed: HR > 120 BPM
• Anxious: HR > 90 + low activity
• Energetic: HR > 90 + high activity
• Relaxed: HR < 60 BPM
• Neutral: 60–90 BPM normal

🔐 Security Considerations

• Encrypted Storage: Protects biometric and alert logs
• Location Sharing: Only during alerts
• Secure API Access: Role-based endpoint control
• Local-First Design: Stores data on device unless opted otherwise

⚙️ Configuration

Modify thresholds in backend/app/alerts/smsalert.py:

HR_THRESHOLD_HIGH = 140
HR_THRESHOLD_LOW = 50
STEP_THRESHOLD = 50
WATCH_TIMEOUT = 10  # seconds

Set your Twilio credentials:

TWILIO_SID = "your_sid"
TWILIO_AUTH_TOKEN = "your_token"
TWILIO_PHONE = "+1234567890"
EMERGENCY_CONTACT = "+91XXXXXXXXXX"

🛠 Troubleshooting

• Bluetooth Issues: Ensure device is BLE-capable and MAC is correct
• No Data: Verify UUID support on your smartwatch
• SMS Failures: Check Twilio config and phone verification
• Debugging: Enable logging with logging.DEBUG

📈 Future Enhancements

• ML-based anomaly detection
• Native Android/iOS app
• Group monitoring for families
• Cloud backup options
• Geofencing & region alerts
• Voice-enabled SOS activation

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Note: This system is intended to support personal safety but should be complemented with other safety practices.