Project 3: Reducing Pollution Exposure for Middle School Students through Machine Learning

Project abstract: 
For students attending Harriet Tubman Middle School in North Portland, concerns exist regarding exposure to harmful traffic-related pollutants. For students in the neighborhood, a key challenge is to recommend walking routes to school that limit exposure to these pollutants while minimizing the time required to walk the route. Using existing pollution data, the student will model this problem as a graph-based shortest path problem, which can then be solved using Python libraries such as NetworkX.

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