Project Info

Doomo

Devpost

Inspiration

Screen-time numbers are easy to ignore. We wanted your habits to become something you could actually see and care about.

What it does

Wasting time on phone weakens Doomo; studying and completing small real-world quests help him recover.

How we built it

We used Codex and GPT-5.6 with React Native, Android usage data, an offline behavior engine, and spaced-repetition study cards.

Challenges we ran into

Making Doomo motivating without making the user feel judged and keeping Android tracking reliable and battery-friendly.

Accomplishments we're proud of

We turned screen habits and learning progress into an emotional companion instead of another analytics dashboard. The isometric room was also cool.

What we learned

People respond more strongly to a character that reflects them than to charts, warnings, or screen-time limits.

What's next

More expressive animations, smarter study-card generation, and deeper changes to Doomo’s room and personality. Integrating google classroom for more personalized feel and realtime conversation. Migrate to android native for more control.

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • JavaScriptIn code
  • KotlinIn code
  • PythonIn code
  • ReactIn code
  • TypeScriptIn code
  • OpenAIClaimed

5 of 6 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

801 KB

Source files

109

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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