• Anjali Gajanan Mahalle

Detecting Fraud in Player Auction focuses on developing a player fraudulent detection model within the IntelliBid platform. IntelliBid is a revolutionary Smart E-Auction Engine designed to transform the conventional landscape of player acquisition in sports. Detecting fraudulent activities in player auctions is crucial for maintaining fairness, transparency, and integrity in the sports industry. Fraudulent activities can undermine the credibility of auctions, leading to financial losses and reputational damage for teams and organizations. By incorporating a fraud player model aims to enhance efficiency and strategic decision-making in player auctions. A player fraudulent model is a module that analyzes player behaviour to identify player activities that are likely to be fraudulent. It serves as the innovative platform that integrates advanced technology and algorithms to streamline the player acquisition process.By identifying and stopping fraudulent activity, companies can protect their revenue and create a fairer playing field for legitimate players.This model is built using algorithm this is trained on data of known fraudulent and legitimate player behaviour.Overall, our project addresses the critical need for detecting and preventing fraudulent behaviours in player auctions, ultimately contributing to a more trustworthy and equitable sports management environment.

Fairness, Transparency, Integrity, Player behavior, Data training, Fair playing, Algorithm

" INTELLIBID: DETECTING FRAUD IN PLAYER AUCTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.120-123, June-2024, Available :http://www.jetir.org/papers/JETIRGI06019.pdf

" INTELLIBID: DETECTING FRAUD IN PLAYER AUCTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp120-123, June-2024, Available at : http://www.jetir.org/papers/JETIRGI06019.pdf