AeroSense Guardian

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  aerosense

Project Story About the Project AeroSense Guardian was inspired by the growing concern over air pollution in urban environments and its direct impact on human health. We noticed that while many cities track air quality at a high level, residents often lack localized, real-time insights that reflect the exact conditions of their neighborhood or street. This inspired us to create a community-centered IoT platform that not only monitors but also predicts air quality patterns while integrating seamlessly with everyday life.

Inspiration The project stems from a simple question: What if the air we breathe could guide our daily choices as much as the weather forecast does? With rising asthma, allergies, and respiratory illnesses linked to pollution, we wanted to build a solution that empowers citizens with knowledge and practical actions.

How We Built It We designed and deployed IoT sensor modules to capture pollutants (PM2.5, CO2, NO2), noise, temperature, and humidity.

These sensors transmit data to a cloud infrastructure, where a data pipeline processes and cleans the incoming streams.

Using machine learning models, we built predictive systems capable of forecasting pollution hotspots and warning users ahead of time.

A mobile app was developed where users can view interactive air quality maps, receive health-tailored suggestions, and find the cleanest travel routes.

Finally, we connected the system with smart home devices, allowing air purifiers and ventilation systems to respond automatically when external conditions worsen.

What We Learned We learned the complexity of handling high-volume time-series IoT data and how important data calibration is when integrating affordable sensors. We also developed a deeper understanding of AI’s role in environmental prediction and how user-centered design is critical when delivering sensitive health-related information.

Challenges We Faced Ensuring sensor accuracy in varying weather conditions and urban microclimates.

Managing large-scale data latency while still providing real-time insights.

Balancing privacy concerns in user health data integration while creating a community sharing feature.

Designing user interactions that are helpful but not overwhelming, especially when providing alerts about health risks.

A Glimpse of the Future We envision AeroSense Guardian not just as a personal health tool but as an integral part of smart city ecosystems, informing urban planning, traffic management, and public health strategies. Ultimately, we learned that air quality awareness is not only about data, but about empowering healthier, more sustainable choices for individuals and communities.

Built With

• bosch-bme680/688-(temp
• for
• gas)
• grove
• hardware:-esp32/esp8266-microcontrollers
• humidity
• level
• microphone
• noise
• nox-index)
• plantower-pms5003/7003-(pm2.5)
• pressure
• sensirion-scd41-(co2)
• sensirion-sen5x-(pm
• voc