InspirationInspirationClearPrint: The Privacy Sentinel The Inspiration Frustrated by "legal armor," I built ClearPrint to transform 50-page Terms of Service into transparent data, treating legal jargon as a cybersecurity threat to be decoded. How I Built It

The Brain: Gemini 1.5 Pro to digest massive legal files. The Engine: Python (BeautifulSoup, Requests) for automated legal text scraping. The Interface: A minimalist Streamlit dashboard for aesthetic, split-view audits. The Challenges Obfuscation: Tuning prompts to bypass vague terms like "trusted partners." Scraping: Navigating dynamic JS-heavy sites to find hidden legal links. Logic: Calculating a Risk Score R based on clause weights w and counts c: The Lesson AI is the ultimate equalizer, turning complex "walls of text" into instant, informed consent.

What it does How we built it Challenges we ran into Accomplishments that we're proud of What we learned What's next for Terms and Conditions Analyzer

What it does

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