This is a submission for Weekend Challenge: Dog Days Edition
What I Built
WikiPaw is an interactive Wikipedia-hopping game designed around dog breeds! Players are given a target dog breed to reach but start on a Wikipedia page located 2–3 outgoing link hops away from their target. To help navigate the maze of Wiki links, WikiPaw uses Gemini AI as an intelligent guide to evaluate your current page against the target breed and hint at how close you are to reaching your destination.
Demo
Live project is hosted on Wikipaw
Demo of the project is available below (mind my sore throat's misdirected ambiguity)
wikipaw-demo.mov - Google Drive
drive.google.com
Code
The code is hosted on my github. Feel free to throw in some feedback or collaborate on upcoming projects.
How I Built It
The following points describe how the project works:
- Core Game Loop: We construct a graph of Wikipedia links starting from a selected dog breed, traversing backwards 2–3 hops to select a fun starting article.
- Gemini AI Integration: On each page visit, the current Wikipedia article content and target breed details are sent to Gemini AI. The model analyzes semantic similarity, topical relevance, and contextual overlap to calculate a "proximity score" and generate dynamic hints for the player.
- Frontend/Backend: Built with a clean UI to render stripped Wikipedia content with active internal links while tracking the player's path and hop count.
Prize Categories
Best Use of Google AI: Leveraged Gemini AI to dynamically calculate semantic proximity between Wikipedia articles and generate context-aware hints for players.
