Most of us have gone through this, while applying for jobs, while buy new phones, or signing up for a new website, skipping through the entire privacy policy and almost everyone clicks “I Agree” without reading the fine print.

Why?

Because the documents meant to inform us — **privacy policies, terms of service, consent forms, job application disclosures, airline policies — are:

• Extremely long (average privacy policy: 3,000–8,000 words)
• Difficult to understand (legal jargon + vague wording)
• Designed to obscure risks, restrictions, and hidden obligations
• Non-standardized and inconsistent across companies

As a result:

• Users unknowingly consent to data sharing, location tracking, AI-based hiring decisions , orselling of behavioral data
• Travelers miss compensation rights because airline refund or delay policies hide exceptions deep in the document.
• Job applicants accept arbitration agreements, criminal background checks, or data retention policies without realizing the implications.
• Consumers lose money through auto-renewals, hidden fees, and non-refundable clauses

This creates a massive transparency gap:

People sign legal agreements they don’t actually understand.

Core things, I want this project to solve

• Identify and extract relevant clauses from long documents
• Classify them into categories (e.g., “Data Sharing”, “Refund Policy”, “Background Checks”)
• Detect pitfalls, risks, loopholes, fees, rights
• Summarize each clause in plain, simple, human language
• Deliver everything instantly, at the moment the user needs it
• Make it accessible (via Chrome extension first, later web app / API)

• Code (Python notebooks, scripts) → MIT License
• Content (deck, README text, visuals) → CC BY-NC 4.0

This means you can freely use and adapt the code with attribution. The slides, documentation, and visuals can be reused non-commercially with attribution.