Issue #1572 Solved :- Added Asthma Prediction

[PrAyAg9]

Solves :- #1572

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

Fixes #1572

Type of change

• [yes ] Added a new machine learning frameworks, libraries or software.
• Documentation update

Checklist:

• [ yes] My code follows the style guidelines of this project
• [ yes] I have performed a self-review of my own code
• [yes ] I have commented my code, particularly in hard-to-understand areas
• [yes ] I have made corresponding changes to the documentation
• [ yes] My changes generate no new warnings

[github-actions]

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊

[PrAyAg9]

@sanjay-kv Could you please review it and merge, Thanks a lot.

[PrAyAg9]

@sanjay-kv Can you please assign me and add gssoc and level label for it