galeone/fitsleepinsights
Custom dashboard for Fitbit users. RAG support (gemini-based) for chatting with your data and getting insights about your fitness activities and sleep data
Builds personalized sleep quality predictions by ingesting Fitbit data into TimescaleDB with pgvector embeddings, then uses Google Vertex AI's generative models to identify individual behavioral patterns affecting sleep. The system isolates per-user analysis to account for physiological differences, avoiding population-level aggregation, and provides a composable architecture with separate Fitbit API client, storage, predictive models, and web application components deployable via Docker or locally.
No commits in the last 6 months.
Stars
24
Forks
1
Language
Go
License
MPL-2.0
Category
Last pushed
May 09, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/galeone/fitsleepinsights"
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