Estimate LandSink Percentage

This project represents the culminating effort of CSC110, where our team gathered sea level data, temperature data, and elevation data from various locations worldwide. Our objective was to construct a linear regression model capable of predicting the percentage of country submerged and the future global average temperature.

Originally, we built the project using Pygame, which generated HTML files upon each new value request. For more details about the original version, please refer to our Github Repository linked here.

To enhance interactivity on the web, I recently developed a Django back-end for this project. This allows users to send API requests for predictions. The back-end server is now hosted on AWS. You can try out the prediction feature below.