Inspiration
K–12 interventions fail because school data systems don’t talk to each other. Teachers waste hours stitching together Infinite Campus, Canvas, and scattered spreadsheets just to see the full picture of a student.
Our data architecture is outdated.
Agentic AI built on interoperable standards like MCP can unify systems, synthesize insights in real time, and free educators to focus on what matters: students.
What it does
Tidepool Education augments teachers by providing an intelligent dashboard to track student performance, generate personalized intervention emails, and gain classroom insights through AI.
How we built it
Claude and a dream.
Challenges we ran into
Agentic engineering, precise language, specificity, and fighting hallucinations (both ours and Claude's).
Accomplishments that we're proud of
We built something we genuinely care about. As former K-12 educators and data scientists, we are confident this product will be in the classroom of the future. It's simply a question of who will build it.
What we learned
It was all of our first hackathons! As data science students, we are used to drawing inferences and building models, but are less experienced with developing products. We're all amazed by the fact that we went from no idea → problem → solution → product in less than 24 hrs.
We also learned to collaborate, leverage our unique skills and experiences, and work through ambiguity as a team.
What's next for Tidepool Education
We'd love to keep building and see you at TreeHacks next year!
Built With
- canvas
- claude
- infinitecampus
- javascript
- mtss
- python
- react
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