Problem
Legal text is dense, multilingual, and costly to triage manually.
Project
Fine-tuned multilingual transformer summarization and translation pipeline for legal text, packaged as a Flask service.
Legal text is dense, multilingual, and costly to triage manually.
I fine-tuned transformer models for summarization and translation, then wrapped the workflow in a reusable Flask service.
The project translated research-style NLP work into a more deployable document simplification workflow.
This project focuses on making legal text easier to process through summarization and translation workflows.