Anna focused on the impact of air pollution on public health, using Python to scrape historical weather and PM₂.₅ data, building prediction models based on LSTM, and creating interactive dashboards with React and D3.js. The platform could predict AQI changes for the next 48 hours in real-time based on user addresses and provide health recommendations. After adoption by community organizations, citizen travel complaints decreased by 30%. Anna used data to visually present air risks and provided strong support for her Northwestern application.

Mentor Review
Anna demonstrated complete technical chain capabilities in combining time series models with front-end visualization. She worked with STEMRise mentors to optimize model stability and dashboard interactions, making complex data intuitive and understandable, balancing research and practical value.
University Admission
Northwestern University
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