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Casino Management Game
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Ace Chat Window
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Ace cost trade analysis
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Challenge Dashboard Page
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Inspiration
The challenge we were given was to analyze the provided casino data and create a dashboard that allowed anyone to be able to view the cost-trade analysis of maintenance vs. replacing of a machine. However, we wanted to make this dashboard more interactive, so we added a game based on a similar model and integrated Ace, a Gemini-based chatbot that is an expert on slot machine economics.
What it does
We have two main components: an organized dashboard for exploring the challenge data, and a casino owner game that allows you to buy, repair, upgrade, and move machines while managing your earnings each night. The game is a fictional simulation, separate from the challenge analysis.
How we built it
We primarily used OpenAI Codex to help develop the project for TAMU Datathon. We built the website with JavaScript, HTML/CSS, and Three.js, analyzed the data with Python, and integrated the Gemini API to power Ace. We deployed it on Vercel at reeluxe.vip.
Challenges we ran into
Some of our biggest challenges came in the initial stages, when we were unsure how to make the dashboard interactive. We had to brainstorm ways to make the experience engaging while keeping the analysis clear and easy to understand.
Accomplishments that we're proud of
We are proud that we created a clean user interface and made the analysis approachable. We’re also proud of Ace’s ability to explain the evidence and compare possible game decisions before players spend their money.
