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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46606

Auction Bidding System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46606

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM46606

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.

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Authors

RS1

R. Saraswathi 1

AMS2

Ashik M S 2

TS3

Tamilsudar S 3

YP4

Yogeshwar P 4

GK5

Gowtham K 5

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Abstract

The auction industry has seen substantial transformations with digital advancements, yet many existing solutions continue to struggle with inefficiencies, limited accessibility, and transparency issues. Traditional auctions, whether online or offline, often encounter challenges such as fraudulent bidding, lack of real-time updates, and insecure payment transactions, making seamless participation difficult for buyers and sellers. To mitigate these issues, this paper introduces an advanced online auction bidding system built on the MERN (MongoDB, Express.js, React, Node.js) stack, ensuring scalability, security, and user-friendliness. The platform enables real-time bidding, allowing buyers to engage dynamically while ensuring full transparency through an intuitive interface that provides instant notifications and competitive bid tracking. Multi-factor authentication enhances security by preventing unauthorized access, while automated bid tracking organizes past transactions efficiently. Secure payment gateways facilitate seamless transactions, allowing sellers to list items with detailed descriptions, high-resolution images, and reserve pricing mechanisms to retain control.AI-driven bid recommendations assist buyers in making informed decisions based on historical trends and market conditions.

KEYWORDS

Multi-factor authentication bid tracking

Cite This Article

R. Saraswathi 1, Ashik M S 2, Tamilsudar S 3, Yogeshwar P 4, Gowtham K 5, "Auction Bidding System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM46606

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Publication Date

1/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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