Capital One Services, LLC (20250087112). ML-Driven Extension to Predict Visually Impaired Spectrum
ML-Driven Extension to Predict Visually Impaired Spectrum
Organization Name
Inventor(s)
Tania Cruz Morales of Washington DC (US)
Kevin Lowe of Richmond VA (US)
Sonia Sierra Sillero of Pacifica CA (US)
ML-Driven Extension to Predict Visually Impaired Spectrum
This abstract first appeared for US patent application 20250087112 titled 'ML-Driven Extension to Predict Visually Impaired Spectrum
Original Abstract Submitted
methods, systems, and apparatuses are described herein for an extension that predicts a user's visually impaired spectrum (vis) score then adjusts a browser accessibility setting accordingly. further, the method may monitor the user's interaction with the accessibility settings and update the user's predicted vis score. an extension may train a machine learning model to predict a user's vis score, then generate a vis score employing the user's personal information as input. further, the extension may retrieve, from a database, one or more accessibility settings associated with a vis score. the extension may adjust one or more browser accessibility settings according to the vis score.
