Proceedings of the International Joint Conference on Science and Engineering 2021 (IJCSE 2021)

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Online Trading System with Reverse Image Search

Authors
Marlo R. Abunales1, *, Ma. Windie C. Velarde1, Deborah G. Brosas1, John Carlo Q. Abella1, Lyra K. Nuevas1, Sarah Jane L. Cabral1
1Faculty of Information Technology, Eastern Visayas State University, Tacloban City, Philippines
*Corresponding author. Email: mawindie.velarde@evsu.edu.ph
Corresponding Author
Marlo R. Abunales
Available Online 16 December 2021.
DOI
10.2991/aer.k.211215.113How to use a DOI?
Keywords
Online Trading; Reverse Image Search; Trade; Image Tagging API; Categorization
Abstract

Online Trading System with Reverse Image Search is designed for people to post their items up for trade. Compared to the bartering and trading system in different social media platforms, this system assures traders that all registered individuals have a valid identity, which may avoid bogus transactions. A one-stop shop for people to post items of any kind; thanks to the categorization feature, unlike other platforms with many different groups for many different kinds of products, it is a hassle to find the product being searched. The researchers integrated an Image Tagging API into the system to handle the image search function, wherein traders use images to search for related products. The system sends that image to the Tagging API, then generates tags to be returned to the system to match other tags to have related items as a result.

Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Joint Conference on Science and Engineering 2021 (IJCSE 2021)
Series
Advances in Engineering Research
Publication Date
16 December 2021
ISBN
978-94-6239-486-5
ISSN
2352-5401
DOI
10.2991/aer.k.211215.113How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - Marlo R. Abunales
AU  - Ma. Windie C. Velarde
AU  - Deborah G. Brosas
AU  - John Carlo Q. Abella
AU  - Lyra K. Nuevas
AU  - Sarah Jane L. Cabral
PY  - 2021
DA  - 2021/12/16
TI  - Online Trading System with Reverse Image Search
BT  - Proceedings of the International Joint Conference on Science and Engineering 2021 (IJCSE 2021)
PB  - Atlantis Press
SP  - 676
EP  - 681
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.211215.113
DO  - 10.2991/aer.k.211215.113
ID  - Abunales2021
ER  -