StudyOS
A study analytics system that measures learning effectiveness, not just study hours.
Designed to turn focus, session depth, and task completion into practical productivity insights for students.
A complete view of shipped tools and systems, with links to source code and live demos where available.
A study analytics system that measures learning effectiveness, not just study hours.
Designed to turn focus, session depth, and task completion into practical productivity insights for students.
A real-time countdown dashboard that converts deadlines into live, visible urgency.
Designed to help users prioritize upcoming milestones with continuously updating timers and progress signals.
A weighted decision system that ranks options with clarity and consistency.
Designed to reduce overthinking by scoring choices across importance, long-term value, urgency, and enjoyment.
A gamified algebra learning experience with a 10-level progression across equations, inequalities, and word problems.
Designed for classes IX-XII with pass-and-play teamwork, randomized question pools, and progression-based unlocking.
A structured archive documenting 200+ Python programs from fundamentals to applied projects.
Designed as a proof-of-work repository that shows progression across logic, GUI tools, and experiments.
A fast palette generation tool built for practical design and frontend workflows.
Designed with lock controls, copy shortcuts, and history to speed up color exploration and implementation.
A curiosity prompt engine that drives structured topic exploration without repetition.
Designed to serve rotating prompts with persistence so users can keep exploring from where they left off.
A lightweight habit consistency tracker focused on daily streak clarity.
Designed to keep progress simple and visible so users can build momentum through repeatable routines.
Systems and tools currently in development.
Upgrade StudyOS into a deeper productivity intelligence system for students.
Generate concentration-friendly ambient soundscapes for deep work sessions.
Create structured focus cycles with cleaner break and session planning.
Explain algorithms through step-by-step visual simulation.