Project

Legal Clarity

Fine-tuned multilingual transformer summarization and translation pipeline for legal text, packaged as a Flask service.

NLPTransformersFlaskPyTorch

Problem

Legal text is dense, multilingual, and costly to triage manually.

Approach

I fine-tuned transformer models for summarization and translation, then wrapped the workflow in a reusable Flask service.

Result

The project translated research-style NLP work into a more deployable document simplification workflow.

Summary

This project focuses on making legal text easier to process through summarization and translation workflows.

What stands out

  • Fine-tuned Pegasus, T5, and IndicBARTSS variants.
  • Worked across multilingual legal content.
  • Packaged the workflow behind Flask endpoints for easier integration.
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