The cross-platform app for efficiently performing Bayesian causal inference and supervised learning tasks using tree-based models, including BCF, BART, and XBART.

Track all legacy BART cars supposedly still in service after their retirement.

Displays the next BART service between 2 stations. Based of the BART's GTFS realtime feeds.

Monitor departures in real time on BART platforms.

This project involves creating an abstractive text summarizer using fine-tuning of the BART model. Leveraging Keras for model creation and deploying with Flask, the summarizer generates concise and coherent summaries from extensive texts. The model achieved 76,84% of accuracy and 0.1756 of loss.