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💡[Feature]: Added Asthma Prediction #1572

@PrAyAg9

Description

@PrAyAg9

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Feature Description

The Asthma Risk Prediction System utilizes real-time environmental data and deep learning algorithms to assess the risk of asthma attacks. Key features include:

  • Real-time Monitoring: Continuously tracks particulate matter (PM2.5, PM10), temperature, and humidity levels.
  • Risk Categorization: Classifies asthma risk levels into "Green" (Safe), "Yellow" (Moderate Risk), and "Red" (High Risk) based on predicted Peak Expiratory Flow Rate (PEFR).
  • Automated Alerts: Sends notifications to users and first responders when high-risk conditions are detected.
  • Edge Computing: Processes data locally using a Raspberry Pi for low-latency responses.
  • User-friendly Interface: Provides a smartphone app for easy access to real-time data and alerts.

Use Case

A lot of uses cases like health monitoring in households, helpful for doctors to get base information or boost in their analysis.

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High

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  • I have read the Contributing Guidelines
  • I'm a GSSOC'24 contributor
  • I want to work on this issue

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