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AI-Based Court Case Analysis System

Intelligent Legal Document Analysis

Python AWS Docker Machine Learning

This project encompasses an intelligent legal document analysis tool designed specifically to simplify immense case files and identify violated IPC sections directly from legal literature.

Project Highlights

  • Prediction and Recommendation: Actively predicted case outcomes using historical data indexing and integrated an interactive legal chatbot for lawyers and end-users.
  • Natural Language Processing (NLP): Deeply implemented specialized NLP mechanisms focused specifically on legal entity extraction, case classification, precedent retrieval, and recommendation generation.
  • Infrastructure: Scaled deployment using containerized workloads operating efficiently over AWS to enable high availability for public search traffic.

This system ultimately transformed complex, hundreds-of-pages-long legal transcripts into simple, parsable action points outlining specific penal codes instantly.

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