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enhancementNew feature or requestNew feature or request
Description
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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.
Benefits
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Priority
High
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enhancementNew feature or requestNew feature or request