AirGuard AI – Smart Smog Alert System

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  airgaurd ai

Inspiration## Inspiration

Air pollution and smog are becoming major problems in cities. People often become aware of dangerous pollution levels only after health risks increase. This inspired us to create AirGuard AI.

What it does

AirGuard AI predicts pollution risk using environmental data such as AQI, temperature, and humidity and provides alerts and health recommendations.

How we built it

We used Python, Streamlit, Machine Learning, and data visualization techniques to create an interactive dashboard.

Challenges we ran into

Finding suitable datasets and creating accurate predictions with limited data were the major challenges.

What we learned

We learned how machine learning can be used for environmental monitoring and prediction systems.

Future scope

We plan to integrate real-time sensors, GPS-based pollution mapping, and mobile notifications

Built With

• machine-learning
• python
• streamlit