Online games trading platform

Ooi, Jing Le (2026) Online games trading platform. Final Year Project, UTAR.

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Abstract

The growing popularity of online gaming has created a demand for centralised platforms that allow players to track their performance, trade in-game items, and connect with the gaming community. However, most existing solutions are fragmented, requiring users to navigate multiple separate websites and platforms to access statistics, marketplace features, and gaming assistance simultaneously. This project addresses these limitations by developing Wind.gg, a unified web-based gaming companion platform that consolidates multi-game player analytics, a peer-to-peer item marketplace, AI-powered assistance, and community features into a single accessible interface. Wind.gg was developed using HTML, CSS, and JavaScript on the frontend, with Google Firebase serving as the backend infrastructure for user authentication, real-time database operations via Cloud Firestore, and session management. The platform integrates multiple third-party APIs including the FACEIT Open API for Counter-Strike 2 statistics, the Riot Games API for Valorant and League of Legends performance data, and the Google Gemini API for intelligent conversational assistance. A peer-to-peer marketplace was implemented with an escrow-based transaction system powered by Firestore atomic transactions, ensuring secure fund management between buyers and sellers. A premium subscription tier with real-time feature activation and a role-based administrator portal complete the platform's feature set. The system was evaluated through black-box functional testing across all modules, performance observation, and a user feedback survey, with results confirming that all functional objectives were successfully achieved and that users responded positively to the platform's usability and feature relevance.

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