Explore how to build a functional system for tracking indoor air quality using Python on microcontrollers and embedded systems. Learn to collect data from various sensors measuring humidity, temperature, CO2, and particle levels. Discover how to implement a predictive machine learning model to forecast indoor CO2 levels and set up alerts for critical conditions. Gain practical insights into creating a home air quality monitoring system while leveraging Python's capabilities in embedded systems and machine learning. Understand the importance of indoor air quality for health, especially in work-from-home environments, and acquire the skills to build your own monitoring solution.