We use large language models to decode obscure privacy policies and provide summarized reports, professional scores, and intuitive visualizations. No more confusion about lengthy and complicated documents, users can learn everything about their personal data usage with PrivaSee.
Take Doordash as an example
Yanan is a dual degree student of Journalism and Computer Science at Columbia University. She has experience in natural language processing, data visualization, and AR/VR. She is interested in exploring computational journalism and leveraging her programming experience to data storytelling.
Yuqi is a M.S. data journalism student at Columbia Journalism School. She interned at South Metropolis Daily in China, also freelanced in opinion writing. Coming from a physics background, she is interested in the Sci & Tech beat, building tools, or introducing AI for local newsrooms.