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A Machine Learning model that will take in a recording of your breathing and diagnose you of a possible respiratory illness, easing diagnosis for teleconsultations

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RespiSense: AI-Powered Respiratory Health Screening

RespiSense introduces an innovative solution for accessible respiratory health monitoring. Using the power of AI and a standard smartphone microphone, RespiSense analyzes your breathing sounds to provide insights into potential respiratory concerns.

Key Features

  • Accessibility: No specialized equipment required. RespiSense empowers individuals to proactively monitor their respiratory health.
  • Proactive Insights: Early detection and insights help users take informed steps.
  • Data-Driven Improvement: RespiSense gathers a valuable dataset of respiratory sounds, contributing to future research and advancements in AI-assisted healthcare.

Getting Started

  1. Visit the RespiSense web app
  2. Record a short sample of your breathing sounds using your smartphone microphone.
  3. Upload the audio file.
  4. RespiSense's AI algorithms will analyze the sounds and provide potential insights.

Technology

  • Frontend: HTML, CSS, JavaScript
  • Backend: Python Flask
  • AI/ML: Pytorch

Important Disclaimer

RespiSense is a valuable screening tool but does not replace formal medical diagnosis. If you have concerns about your respiratory health, please consult a healthcare professional.

Project Roadmap

  • Expand AI analysis capabilities to detect a wider range of respiratory conditions.
  • Integrate with telehealth platforms for seamless remote consultations.
  • Develop educational resources on respiratory health.

Contributing

We welcome contributions to further improve RespiSense! Please refer to our contributing guidelines.

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A Machine Learning model that will take in a recording of your breathing and diagnose you of a possible respiratory illness, easing diagnosis for teleconsultations

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