# What’s Next for Canada?

Interactive 3D semantic maps of 1,000 Canadians’ survey responses, using embeddings, t-SNE, and clustered themes.

Web page: /projects/vancouver-ai-semantic-maps

- From: Vancouver AI Data Storytelling Hackathon
- When: 2025-06
- Significance: standard
- Tags: hackathon

## Overview

Round 2 asked participants to turn a survey about Canada’s present and future into an engaging data story. I explored the relationships between open-ended answers in a space users could rotate, zoom, and inspect.

## Process

I generated OpenAI text embeddings, reduced them to three dimensions with t-SNE, and selected K-Means cluster counts using silhouette scores. Identical responses were aggregated; cube-root marker sizing made marker volume reflect frequency. Plotly supplies interactive maps and hover text.

## Reflection

This extended my earlier student-survey maps. Iterating on clustering, sizing, and presentation made the responses easier to explore, while the geometry remains an exploratory representation of the data.

## Gallery

![Interactive 3D semantic map of responses about Canadian identity.](/assets/tab-panels/vancouver-ai-semantic-maps.webp)

## Links

* [GitHub](https://github.com/Toricane/van_ai_data_storytelling_hackathon_round_2)
* [Website](/van_ai_data_storytelling_hackathon_round_2/)
* [Demo video](https://www.youtube.com/watch?v=a6kd128q9Bg)
* [Competition](/projects/vancouver-ai-data-storytelling.md)

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