Document Type
Capstone Open Access
Kyte
Streaming Media
Faculty Supervisor
Robert Moskal
Date of Defense
2022
Department
Faculty of Applied Science & Technology (FAST)
Program Name
Computer Systems Technology – Software Development and Network Engineering (SDNE)
Description
A app with an ML algorithm designed to provide a more accurate quality rating for any Amazon product.
Original Publication Citation
Mareev, V., Singh, Ranvir, Place, L., Sandhu, N. (2022). Kyte [Unpublished Capstone]. Computer Systems Technology – Software Development and Network Engineering (SDNE). Sheridan College.
SOURCE Citation
Mareev, Viacheslav; Singh; Ranvir; Place, Logan; and Sandhu, Navjot, "Kyte" (2022). 2022. 8.
https://source.sheridancollege.ca/student_work_fast_capstones_sdne_2022/8
