MoveMinute

Inspiration

I wanted an exercise tracker that’s simple and private. Most apps are overloaded with features or social feeds, while I just need a lightweight tool to log all activities — not only running, but also hiking, climbing, badminton, and more. A streamlined website fits those needs perfectly.

What it does

MinuteMove - Exercise Tracker is a lightweight web application that lets users quickly log any physical activity — from running and hiking to rock climbing, badminton, and more.
Users can:

Log an activity by selecting type, date, duration, optional distance, and notes
View a dashboard with total active minutes over the past seven days and activity breakdowns
Export all activity data to CSV for safekeeping or analysis
The interface is clean, high-contrast, and keyboard-friendly, making it quick to use and accessible to a wide audience. All data stays local, ensuring user privacy.

How we built it

Built with Python and Streamlit for a fast, interactive web UI.
UI & Interaction: Streamlit widgets for activity logging, dashboards, and charts — no separate frontend needed.
Data Storage: Local CSV file managed with pandas for easy saving and exporting.
Visualization: Streamlit’s built-in charts + pandas for daily totals, activity breakdowns.
Process: Started with logging + CSV persistence → added dashboard visualizations → implemented totals tracking → tested locally and prepared for deployment to Streamlit Cloud.

Challenges we run into

Faced the difficulty of building an MVP solo, balancing both coding and design decisions.
Resolved tricky issues with Streamlit components, including custom activities, input validation, and notes column formatting.
Dealt with testing as a “new user” despite shared CSV persistence on Streamlit Cloud.

Accomplishments that we're proud of

Built a complete MVP with activity logging, a functional dashboard, and live metrics.
Added polish beyond the basics: custom activities, chronological sorting, and combined running distance tracking.
Deployed successfully to Streamlit Cloud with a clean, demo-ready interface.

What we learned

Gained experience using Streamlit for navigation, metrics, and interactive tables.
Improved skills in data validation, type handling, and debugging Streamlit API mismatches.
Learned to scope and prioritize effectively by starting small and iterating toward a polished product.
Got familiar with devpost as a platform for submitting and showcasing projects.