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SentinelShield – AI-Powered Smart Pendant for Women’s Safety

SentinelShield is a wearable AI-based emergency alert system. It detects custom tap patterns or voice cues to silently trigger emergency alerts, ensuring quick help without needing a phone unlock or app navigation.

🧠 Core Idea

Designed for women's safety, SentinelShield sends real-time alerts to:

  • 5 trusted contacts
  • Local police (via integration)
  • Developers (for analytics/response)

⚙️ Tech Stack

  • Python – Backend logic
  • Twilio API – Sends SMS and voice alerts
  • Firebase – Stores user, location, and emergency data
  • Simple ML Model – Detects tap/voice patterns

🛠️ Files

  • main.py – Core logic (pattern detection + trigger)
  • firebase_config.py – Firebase initialization
  • twilio_alert.py – Sends alerts via Twilio
  • README.md – This file

📸 Screenshots

(Add images here: message alerts, code sample, flow diagram)

🔐 Real-Time Usage

Used in emergencies like:

  • Physical assault or rape threat
  • Elderly fall detection
  • Discreet help trigger (hands-free)

📈 Future Scope

  • Add wearable device integration (Bluetooth)
  • NLP voice detection with AI analysis
  • Geo-fencing with auto-activation

👨‍💻 Author

Abhilash Reddy G
GitHub | LinkedIn

About

An AI-powered smart pendant that discreetly triggers emergency alerts using tap or voice detection, built with Python, Firebase, and Twilio.

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