This project presents an Image-Based Calling System for Heart Patients with Heartbeat Monitoring Using AI, designed to enhance patient safety through continuous health tracking and intelligent emergency response. The system is built around the Arduino Uno, which collects real-time data from a heartbeat sensor and a temperature sensor. This data is processed and displayed on both a TFT and LCD screen via appropriate driver circuits. An AI algorithm analyzes the health data to detect abnormal conditions such as irregular heartbeats or abnormal body temperature. In the event of a critical reading, the system triggers a buzzer and LED indicators for immediate alert. Simultaneously, an image-based calling mechanism is activated to notify caregivers or medical personnel, ensuring timely intervention. A regulated power supply ensures stable operation, while components like the crystal oscillator and reset switch help maintain system stability. This Arduino Uno-based solution is designed to be cost-effective, portable, and suitable for remote monitoring, especially for heart patients requiring constant care.    

The main objective of this project:  

• To continuously monitor the heartbeat and body temperature of heart patients.
• To detect abnormalities using AI algorithms.
• To alert caregivers through an image-based calling system during emergencies.
• To display real-time health data on TFT and LCD screens.
• To provide audible and visual alerts for abnormal health conditions.
• To ensure reliable and uninterrupted monitoring using a microcontroller-based system.

    The major building blocks of this project are:  

1. Regulated Power Supply.
2. ARDUINO UNO.
3. Heart Beat sensor.
4. LCD with driver.
5. BUZZER.
6. TFT SCREEN.

    Software’s used:    

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

 

Regulated Power Supply:

           

video: