Wildlife Watcher

Title: Wildlife Watcher

Game Concept: Wildlife Watcher is a simulation game where players take on the role of a customs screening officer responsible for using X-ray technology to scan and identify illegally trafficked animal goods. The game aims to provide an authentic experience by simulating the interface and tools that real customs officers use, while also presenting moral dilemmas and challenges associated with wildlife trafficking.

Target Audience: The game is targeted at players aged 16 and above who enjoy immersive simulations, decision-making gameplay, and have an interest in wildlife conservation and law enforcement.

Process: I came across a video detailing a new 3D scanning capability in Australian airports. I wanted this to be a data-driven game, so I found the CITES database on trade information for importing into the US in 2022. There were about 70+ some illegal products. CITES Trade Database

I took that data and was given scientific names. I asked ChatGPT - "What are these creatures?" It gave me a detailed explanation and a common name. I used OpenAI's Shape-E to generate 3D models using those common names. I also did the same process for everyday travel items. GitHub - openai/shap-e: Generate 3D objects conditioned on text or images