ConsentIQ

Hackathon Winner | AI-Driven Legal Transparency Tool

The Problem

Online privacy policies and terms & conditions are intentionally long, complex, and filled with legal jargon. This lack of transparency leads to users unknowingly consenting to data practices that compromise their privacy.

Our Solution (Udgam 2.0 Winner)

Built for Udgam 2.0 – Tensor v2 at Woxsen University, ConsentIQ is an AI-powered tool that simplifies complex legal documents. It analyzes T&C files and highlights critical privacy risks using automated clause segmentation and AI-driven risk scoring.

Technical Features

• Data Ingestion Layer: Handles large PDF and text documents efficiently.

• OCR Integration: Uses EasyOCR and Tesseract for scanned legal papers.

• Clause Segmentation: Automatically breaks documents into logical sections.

• AI Risk Detection: Flags invasive data practices using Local LLMs.

• Risk Scoring: Provides a weighted privacy score for every document.

Online privacy policies and terms & conditions are intentionally long, complex, and filled with legal jargon. This lack of transparency leads to users unknowingly consenting to data practices that compromise their privacy.

Tech Stack

Next.js 14, TypeScript,Tailwind CSS, Python,EasyOCR,Tesseract,Local LLM.