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Note Project files are removed and will be updated on 10th Jan 2026

🚀 AI Enhanced Smart Stethoscope

AI-Enhanced Smart Stethoscope for real-time cardiopulmonary diagnostics and telemedicine integration. This project integrates Artificial Intelligence (AI) with an enhanced stethoscope to provide real-time analysis and diagnostics of heart and lung sounds. 🚑📈 The AI model detects potential anomalies and automatically generates diagnostic reports.

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Project Structure

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├── AI_Enhanced_Stethoscope
    ├── datasets/                 # Sample datasets for auscultation sounds
    ├── models/                   # Pre-trained AI models for cardiopulmonary diagnostics
    ├── src/                      # Main source code directory
        ├── __init__.py
        ├── stethoscope_hardware.py  # Hardware simulation code
        ├── ai_algorithm.py         # AI algorithms for sound analysis
        ├── signal_processing.py    # Signal preprocessing, filtering, and feature extraction
        ├── noise_reduction.py      # Noise reduction functions
        ├── feature_extraction.py   # Extract heart rate, rhythm, etc.
        ├── report_generation.py    # Code to generate diagnostic reports
        ├── interface.py            # User interface and real-time visualization code
        └── telemedicine_integration.py  # Code for telemedicine integration
    ├── test/                      # Unit tests for all components
    ├── results/                   # Folder to store outputs and results
    ├── visualizations/            # Code and output for visualization (graphs, charts, etc.)
    ├── requirements.txt           # Required dependencies
    ├── README.md                  # Project documentation
    └── LICENSE.md                 # License for the project

🎯 Features

• Real-Time Cardiopulmonary Diagnostics: Immediate feedback on heart and lung sounds with high diagnostic accuracy.
• Wireless Charging Support: Portable and always ready for use.
• AI-Driven Diagnostics: AI algorithms analyze auscultation sounds and suggest potential medical conditions.
• Telemedicine Integration: Allows remote consultations with healthcare providers.
• User-Friendly Interface: Easy-to-use software that displays real-time monitoring and generates automated reports.

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🔧 Requirements

You'll need the following to get started:

Symbol	Requirement
🐍	Python 3.8+
🔧	TensorFlow
🔢	NumPy
🛠	Requests
📊	Matplotlib

Install dependencies via:

pip install -r requirements.txt

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📊 Visualizations

Heart Rate Visualization

Below is an example of the real-time heart rate visualization that the system can generate:

This graph shows the heart rate over time captured using the AI-enhanced stethoscope.

Example Diagnostic Report

The AI generates an automated report based on the collected heart and lung sounds. Here’s a sample snippet:

Diagnosis Report:
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Heart Rate: 72 bpm
Detected Anomalies: None
AI Suggestion: Healthy heart, no abnormalities detected.

🛠️ Step-by-Step Guide to Run the Simulations

Follow these instructions to run the simulations for the AI-enhanced stethoscope project:

1. Clone the Repository

   git clone https://github.com/astromanu007/AI-Enhanced-Smart-Stethoscope.git
   cd AI-Enhanced-Smart-Stethoscope
   

2. Install the Dependencies Install the necessary dependencies by running the command:

   pip install -r requirements.txt
   

3. Simulate the Stethoscope Hardware

   • You can simulate the hardware functionality by running:

   from src.stethoscope_hardware import Stethoscope
   stethoscope = Stethoscope()
   stethoscope.record_sound()
   

4. Run AI Diagnostics on Recorded Audio

   • Analyze heart or lung sounds using the AI model:

   from src.ai_algorithm import AIDiagnostics
   ai = AIDiagnostics(model_path='models/ai_model.h5')
   diagnosis = ai.analyze_audio('audio_data')
   print(diagnosis)
   

5. Visualize the Data in Real-Time

   • Visualize real-time heart rate data:

   from src.interface import display_real_time_data
   display_real_time_data({"time": [1, 2, 3, 4, 5], "heart_rate": [72, 75, 73, 70, 68]})
   

6. Telemedicine Integration

   • Send diagnostic data for remote consultation:

   from src.telemedicine_integration import send_data_to_doctor
   send_data_to_doctor('audio_data', 'Diagnosis report here')
   

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📧 For More Information

For additional details, collaboration, or questions, feel free to contact me:

• 📧 Email: manishdhatrak1121@gmail.com
• 📂 GitHub Repository: AI Enhanced Smart Stethoscope

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📜 License

This project is licensed under the MIT License. See the LICENSE file for more information.