Abstract:
The Smart Pet Health Tracker System is an IoT-based solution designed to monitor the health and location of pets in real time. It integrates various sensors, including an SpO2 sensor, temperature sensor, accelerometer, and GPS module, all controlled by an ESP32 microcontroller. These sensors continuously collect data on vital parameters such as heart rate, oxygen levels, body temperature, and activity patterns. The collected data is transmitted to a cloud database via the internet, where it is analyzed using machine learning algorithms to predict the pet's health condition. Additionally, the system offers real-time GPS tracking and visualizes all health and location data through a user-friendly mobile app and web dashboard, providing pet owners with continuous updates and timely alerts to ensure the well-being of their pets.


Objectives:
• To continuously monitor vital health parameters of pets using sensors (SpO2, temperature, accelerometer).
• To track the real-time location of pets using a GPS module.
• To transmit collected data to a cloud database using ESP32 and Wi-Fi.
• To analyze sensor data using machine learning for predicting pet health conditions.
• To develop a mobile app and website for real-time tracking and data visualization.
• To generate alerts for abnormal health readings or critical situations.
• To help pet owners make informed decisions about their pet’s health and safety.