LifeLens

LifeLens turns your daily habits into a 0–100 productivity score, visualized through radar charts, heatmaps & smart recommendations — all in pure Python.

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What's next for LifeLens

Inspiration

We noticed that most habit trackers are passive — they store data but never tell you why your week went well or badly. We wanted to build a tool that quantifies the relationship between sleep, focus, hydration, and output into one honest number.

What it does

LifeLens is a personal analytics dashboard. You log 6 daily habits, it calculates a Productivity Score (0–100) and builds interactive charts — a polar habit radar, an annotated weekly heatmap, an animated timeline, and a peaks chart — plus generates a rule-based recommendation report and a downloadable week-over-week text summary.

How we built it

Entirely in Python. Streamlit handles the UI and reactive page routing. SQLite3 persists entries locally. Pandas handles all data wrangling and aggregation. Plotly constructs the interactive charts with frame-based animations and manual cell annotations. A custom CSS injection system drives the Light Neo-Brutalism design theme.

Challenges we ran into

Streamlit's HTML rendering model means raw

wrappers don't contain Python widgets — we had to switch to st.container(key=...) and use CSS key-class selectors to apply brutalist styling natively. Getting Plotly heatmap annotations to display metric units (liters, hours, minutes) per-cell required manually building annotation dict arrays.

Accomplishments that we're proud of

The Productivity Score algorithm — a weighted, normalized formula with bonuses and penalties that produces a genuinely meaningful daily index. The full pipeline from daily log → SQLite → Pandas → Plotly → styled dashboard is built entirely without any external APIs or cloud services.

What we learned

How much Streamlit's component lifecycle matters for CSS targeting. How to build frame-based animations in Plotly using cumulative DataFrame slices. That SQLite's dynamic typing handles REAL float columns seamlessly for unit conversions.

What's next for LifeLens

Streak tracking with milestone badges, mood correlation heatmaps using Pearson coefficients, a goal-setting system where users define personal habit targets and the score engine adapts accordingly and an android application so people can use it directly through their phones.

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