An accessible and private data collection iOS app for iPhone and iPad for blind participants with just in time instruction so that they could use their own devices, in their everyday environments, to capture and upload images/videos of prop objects in the BiVPriva Dataset of private content

A prototype, inspired by blind users' preferences, automatically identifies private objects in photos and lets users choose if and how to hide them. It features a user-friendly interface optimized for screen readers, with two main sections: "explore image" and "edit image". Project Lead by Lotus Zhang*, I have contributed to the system design and development.

A browser extension tool developed with iterative, user-centered design process to provide quick access to privacy/security information, such as a website’s domain name, and whether it is HTTPS enabled; and to equip users with information needed to protect them against privacy/security risks such as phishing attacks. Project Lead by Smirity Kaushik*, I have contributed to the system design and development.