AI-DRIVEN AUCTION PLATFORM: A COMPREHENSIVE SYSTEM FOR USER, AUCTION, PAYMENT, AND REVIEW MANAGEMENT
The rapid advancement of artificial intelligence (AI) has transformed various industries, including ecommerce and online marketplaces. This paper presents an AI-powered online auction system designed to enhance user experience, optimize bidding strategies, and ensure fair and efficient transactions. The system integrates machine learning algorithms to analyze bidder behavior, predict optimal bidding prices, and detect fraudulent activities, ensuring a seamless and secure auction process. The core functionalities of the system revolve around intelligent automation and AI-driven decision-making, including a personalized recommendation engine using deep learning to suggest tailored auctions, a dynamic pricing model adapting to market trends, and AI-driven sentiment analysis to evaluate credibility. Security is prioritized through AI-based anomaly detection for fraud prevention, advanced authentication mechanisms, and blockchain-integrated smart contracts for transparency. Additionally, real-time analytics and AI-powered chatbots with Natural Language Processing (NLP) assist users in strategizing bids and navigating the auction process, improving accessibility and engagement.
Authors
- J.K. Prasad (ORCID: https://orcid.org/0000-0002-1157-2499)
- B. Sri Lasya
Institutions
- Aditya Birla (India) (IN)
Publication Details
- Journal
- International Journal of Engineering Applied Sciences and Technology
- Published
- 2025-03-01
- DOI
- https://doi.org/10.33564/ijeast.2025.v09i11.011
- Primary Topic
- Auction Theory and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00