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Torii SRS (v2)

Torii SRS (v2) is a comprehensive Japanese vocabulary learning platform featuring robust offline capabilities via IndexedDB. The web application integrates a dynamic dictionary for seamless word addition, offers advanced review methodologies to optimize vocabulary retention, and provides a review forecast chart for strategic study planning. Enhanced search and analytics tools deliver actionable insights, supporting learners at every stage.

Project Links

Tech Used

JavaScriptVue.jsVuetifyMySQLPHPAmAmazon Web ServicesMSMS AzureIBIBM Watson

Overview

Torii SRS (v2) was built as a full-featured vocabulary study platform for Japanese learners who need a reliable daily review workflow across devices. The product focuses on fast study sessions, offline access, flexible word management, and clear progress visibility.

The application combines spaced repetition, dictionary-driven content entry, review forecasting, and learner analytics in one interface. A major goal was making advanced study tooling approachable without slowing down the core review loop.

Key Features

  • Offline-first learning flow backed by IndexedDB
  • Dynamic dictionary integration for adding vocabulary quickly
  • Multiple review modes designed around retention and recall
  • Forecast and analytics views for planning study workload
  • Cloud-backed architecture for account data and synchronization

What I Learned

This project sharpened my understanding of data-heavy offline web apps, especially around synchronization, local persistence, and keeping complex study features understandable for regular daily use.