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Legal Analysis & Summarization with NLP & Recurrent Neural Network with Translate & OCR

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Garvit9000c/Decode-X

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DECODE-X (OPEN INNOVATION TRACK)


PROBLEM STATEMENT

  • "Around 70% of Data Breaches Occur Due to Unawareness About the Terms & conditions of service, From Facebook-Cambridge Analytica to Whatsapp Privacy Issue Most of the Time These Legal/Policy Documents are Gigantic Enough for Normal User to Compile & Understand."
  • "Reading Long Documents/Articles Can Be Time Consuming & often Combursome if Text is Large Enough."

IDEA

  • Building a Robust AI-driven Platform That can Provide Legal analysis of the Terms & Conditions/Legal Agreements And Quick Summarisation of Articles using Natural Language Processing & Recurring Neural Network.

EXPECTED KEY FEATURES

  1. Natural Language Processing For Summarisation.
  2. Recurring Neural Network Model For Legal AnaLysis.
  3. Responsive Material/Minimalistic UI Webapp.
  4. Image/Text input Input in Hindi or English.
  5. Tesseract for Text Extraction from Image.
  6. Google Translate API for Translation.
  7. CI/CD Pipeline

EXPECTED TECH-STACK

  • Front End: HTML5/CSS3/ Bootstrap/JavaScript/jQuery/GSAP
  • Backend End: Flask
  • Deployment: Heroku
  • ML Models: Python

TRY-IT-OUT

PROJECTED STRUCTURE:

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