Community Pulse
Anonymous community feedback platform where AI learns what to ask. Residents answer three quick questions about cost-of-living pressures, then Gemini generates personalised follow-up questions based on both their answers and patterns across the entire dataset. The result is a living "Community Voice" narrative that evolves as more people contribute. The earlier draft was submitted to the Gemini 3 Hackathon as Dyadem; it has grown into a live platform now running real community surveys.
Challenge
Traditional surveys ask everyone the same questions regardless of context. Focus groups capture nuance but don't scale. Communities need a way to share experiences that adapts to what's being said — and synthesises many voices into a collective insight.
Solution
Built an adaptive feedback loop: fixed questions establish a baseline, Gemini generates tailored follow-ups using structured output, a theme extraction layer identifies patterns across all submissions, and a separate high-reasoning Gemini call produces a narrative insight grounded in real data. The questionnaire gets smarter as the dataset grows — questions at submission 200 are fundamentally different from submission 5. Since the hackathon draft, the platform has been deployed, run its first live survey, and the approach is written up on Dev.to.
