❤️ Real-Time Heart Rate Monitoring System

A real-time heart rate monitoring system using Arduino and Python that visualizes live BPM data, logs readings, and generates a professional report automatically.

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🚀 Features

• 📡 Real-time heart rate monitoring using Pulse Sensor
• 📈 Live BPM graph visualization
• 🧾 Automatic CSV logging
• 📊 Smart PDF report generation
• 🧠 Intelligent analysis (average, trend, variation)
• 📂 Organized output folder
• 🔗 Includes GitHub & LinkedIn integration in reports

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🛠️ Tech Stack

• Arduino (Pulse Sensor)
• Python
• Matplotlib
• PySerial
• ReportLab

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📂 Project Structure

Heart-Rate-Monitoring-System/
├── Arduino/
│   └── heart_rate_monitor.ino
├── Python/
│   └── app.py
├── assets/
│   ├── graph.png
│   └── report.png
├── requirements.txt
├── .gitignore
└── README.md

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⚙️ How to Run

1. Upload Arduino Code

• Connect your Arduino
• Upload the .ino file

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2. Install Python Dependencies

pip3 install -r requirements.txt

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3. Run the Application

python3 app.py

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🧪 Usage

1. Place your finger on the sensor
2. Wait 20–30 seconds
3. Close the graph window

👉 A PDF report will be generated automatically

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🔌 Wiring

Pulse Sensor

• VCC → 5V
• GND → GND
• Signal → A0

LCD (I2C)

• VCC → 5V
• GND → GND
• SDA → A4
• SCL → A5

Buzzer

• • → D11
• • → GND

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📌 Note

Keep your finger steady for 20–30 seconds before closing the window to ensure an accurate report.

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📊 Output

The system generates:

• CSV log file
• BPM chart image
• PDF report

(All stored in the output/ folder)

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👤 Author

Ahmed Gamal

🔗 GitHub: https://github.com/AGamal-X 🔗 LinkedIn: https://www.linkedin.com/in/ahmdgamall/

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⭐ Project Highlights

This project demonstrates:

• Real-time data processing
• Hardware-software integration
• Data visualization
• Automated reporting

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📌 Future Improvements

• GUI interface
• Mobile app integration
• Cloud data storage
• AI-based anomaly detection

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