Case Study: Nekyo

Humanizing Japanese.

Designed and coded a multi-sensory Japanese learning ecosystem that solves the "Dull UI" barrier for beginners.

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Phase 01: Research

User Problem & Research

Japanese learning is often gated by intimidating 90s-style interfaces. As a JLPT N4 student, I identified learners stall because current tools offer dry static tables without sensory feedback.

The goal was to solve ocular fatigue and boost retention by bridging visual recognition, auditory memory, and physical stroke practice.

Phase 02: Engineering Solution

01 // Audio Script Mastery

Designed a unified module for Hiragana, Katakana, and Kanji. Native pronunciation is triggered on-click using custom Audio API integration.

UI/UX + Frontend Implementation
Script Mastery
Chat Bot

02 // Chat Bot & Custom Keyboard

Built a JSON-driven bot conversation page paired with an on-screen Japanese keyboard. Removes the friction of installing language packs.

Logic Flow Design

03 // Structured Learning Hub

Divided curriculum into 9 chapters. Implemented data-driven interactive quizzes that validate retention before advancing.

Information Architecture
Learning Hub
Practice Board

04 // Virtual Practice Board

Designed a "Virtual Green Board" using HTML5 Canvas for free-hand stroke practice, mimicking physical muscle memory.

Gesture-Based UX

Retrospective & Logic

Coding Implementation

Developed with React and TypeScript. Optimized the Audio API and canvas logic for ultra-low latency interaction on mobile devices.

Design Impact

By replacing standard learning hurdles with sensory feedback, Nekyo created a ritual-based experience that reduces beginner bounce rates.

Collaboration

Let's Build Success.

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