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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52070
Volume:
9 |
8 |
Aug 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper presents a comprehensive web-based platform designed to enhance the efficiency, transparency, and security of the fish trading industry by integrating fish species prediction, auction management, and blockchain technology. The platform enables fish pond owners to predict fish species based on key environmental factors such as pH, temperature, and turbidity, thereby optimizing farm operations and improving yield. It also facilitates a fair and competitive marketplace through an online auction system where owners can create and manage auctions, and buyers can participate in transparent bidding processes. By leveraging blockchain technology, the platform ensures that all bidding details are secure, immutable, and transparent, effectively preventing fraud and fostering trust among users. This innovative solution streamlines the fish trading process, providing a user-friendly interface and robust features that address the critical needs of pond owners, buyers, and administrators, ultimately promoting a more reliable, efficient, and trustworthy fish trading ecosystem.
KEYWORDS
Publication Date
8/24/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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