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GridWatch

Created by: eshangillani1
1 devlog
4h 41m 26s

A random forest machine learning model that predicts the risk of power outages in ten cities in Virginia. Provides updates through model training by the OpenMeteo API and Leaflet for maps.

This project uses AI

The frontend beautification was completed using ChatGPT and Claude. For the backend, the API calls and imports were not generated by AI, however, the machine learning model and the recommendations for floods as well as the email algorithm was developed with the aid of AI tools.

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eshangillani1
eshangillani1 worked on GridWatch
10 days ago
4h 41m logged

Worked on developing the front-end and back-end of the software. For the front-end, HTML, CSS, and JavaScript was used after choosing a color scheme. For the backend, four key APIs were using including the Vercel Serverless API, Google Street View API, Open-Meteo API, and Leaflet for the maps. The machine learning model (a random forest) was also created and the system shows this data on an interactive map. Key element features include the email list and the recommendations on next steps based on the current prediction.

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