When Mia saw her neighbor's corn harvest drastically reduced due to fall pests and diseases in the vast cornfields of the American Midwest, she used her summer internship opportunity to deeply engage with local farms. After self-studying computer vision and drone control, she designed and assembled an inspection drone equipped with multispectral cameras. During each flight, she calibrated lenses and optimized segmentation algorithms under the scorching sun, and repeatedly discussed disease spot identification standards with agronomists. After dozens of field tests, her system could accurately locate disease spots within seconds and automatically generate treatment reports. After local farmers used it, pest and disease loss rates decreased by an average of 40%. Mia used a piece of code to truly root technology in the community and delivered an impressive report card for her CMU application.