This project proposes an AI-driven child safety wearable device designed to ensure real-time monitoring and emergency alerting using Arduino Nano, GSM, and GPS technologies. The wearable integrates multiple sensors and smart logic to detect critical conditions and notify guardians instantly. A temperature sensor continuously monitors body temperature, and any abnormal readings trigger alerts. A panic switch is provided for the child to manually indicate distress, activating both a buzzer and a GSM-based SMS alert system. The device features GPS-based geofencing, allowing parents to define a virtual boundary. If the child crosses this predefined safe zone, the system immediately sends an alert via SMS and displays a boundary breach warning on the LCD screen, while also activating the buzzer for local alerting. The wearable is powered by a compact rechargeable battery, making it suitable for continuous use. An AI algorithm analyzes sensor inputs and user interactions to identify abnormal patterns, enhancing the system’s intelligence and responsiveness. This innovative, compact solution offers a comprehensive approach to child safety, combining proactive monitoring with immediate emergency communication.  

Features:

1. AI-driven safety monitoring
2. Real-time GPS tracking
3. GSM module for SMS alerts
4. Virtual boundary (geofencing) alerts
5. Abnormal temperature detection
6. Panic switch for emergency alerts
7. Buzzer for local warnings
8. LCD display for real-time status
9. Smart alert logic using AI patterns

      The Major Building blocks of this project are:  

• Battery.
• LM2596.
• Arduino NANO.
• LCD display.
• Temperature sensor.
• GSM Modem.
• GPS.
• Buzzer.
• Panic switch.

    Software’s used:  

• Arduino IDE compiler for Embedded C programming.
• Express SCH for Circuit design.

     

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