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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM56160

Real –Time Auction Web Application

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM56160

Volume:

10 |

1 |

Jan 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM56160

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

AP

Anish Prajapati

NS

Nami Shukla

NP

Nikita Prajapti

AkS

Alok kumar Srivastava

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Abstract

The online auction-based system offers a powerful solution to improve online bidding and sales with machine-learned and implemented features to predict instant bidding behavior, personalize products/history alerts, and adjust pricing strategies. Inbuilt conversational agents provide real-time auction updates and explain marketplace operations, and an easy-to-use seller dashboard makes it simple to list items, specify categories, and finalize secure transactions by way of the users’ favorite online payment systems. Users make their biddings across the real-time bidding interface. (offers) and monitor the trend of the bidding as per the type of product and seller. trustiness, and their proximity to bidders. Selective location based Product fulfilment and freight rationalisation is possible through services. Architecture of real-time information scramble, foreseeable auction. predictions, secure payment roads and an easy interface to different. levels of experience. The campaign will create awareness both in the local and state project whilst promoting further involvement, and establishment. a seamless experience to the bidders under a single site. Key Features Pattern recognition engines Intelligent in dialogue agent. The control site of Vendor Live auction Customizable item suggestions. Secured deals Location-driven services.

KEYWORDS

AI in machine learning chatbot assistant sellers

Cite This Article

Anish Prajapati, Nami Shukla, Nikita Prajapti, Alok kumar Srivastava, "Real –Time Auction Web Application," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 1, Jan 2026. https://doi.org/10.55041/IJSREM56160

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Publication Date

1/22/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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10

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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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