Life & Health Dashboard

Why I built this

I've tracked various health metrics across separate apps for years without a way to analyze their cross-functional impact. I built this dashboard to centralize my data into one daily view, surfacing actionable trends to uncover how work and social schedules influence readiness, how training volume affects recovery, and how nutrition impacts sleep.

Want to click around it yourself?

Try the interactive demo with sample data — same views, same charts, no real personal data.

Try the Interactive Demo →

System Architecture

Pulls from four separate apps I was already using, no hosted backend involved.

Oura

Sleep, recovery, HRV

Hevy

Workouts & training

MacroFactor

Nutrition

Google Calendar

Today's events

Gmail

Read-only — never sends, deletes, or modifies anything

OAuth2, read-only scope

↓

Local sync layer

Pulls each source's API/export into one local store

PythonSQLite

↓

Where AI actually does work — narrow, schema-constrained, and cached

Newsletter summarizer

Raw email text → headline + summary in a fixed schema, never guessing at HTML layout

ClaudePydantic

Health insight synthesis

Only aggregate stats/correlations sent — never raw rows or journal text. Cached against a data fingerprint

LangChainClaude

Encrypted journal

Fernet + password-derived key (480k rounds PBKDF2), decrypted only in-memory per request

cryptography

↓

Streamlit dashboard

Home, Health Summary, News, About — one daily view

StreamlitPlotly

Software Used

Python Streamlit Pandas Plotly SQLite LangChain Anthropic Claude Pydantic Google API Client (Gmail OAuth2) cryptography / Fernet