Touch Typing Learning Platform

A production-ready full-stack touch typing application built with Next.js, TypeScript, Prisma, and PostgreSQL.

The system delivers structured lessons with real-time WPM and accuracy tracking, server-validated progression logic, persistent performance history, and dynamic PDF certificate generation.

Deployed on Vercel.

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Overview

• Real-time keystroke processing with performance-conscious state updates
• Server-side validation of session results and progression logic
• Relational data modeling using Prisma and PostgreSQL
• Secure authentication and protected routes via NextAuth
• Client-side certificate generation using html2pdf.js

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Core Features

• Structured lesson progression
• Real-time WPM and accuracy calculation
• Character-level typo detection
• Persistent session history
• Performance statistics per lesson
• Downloadable PDF certificates

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Tech Stack

Next.js (App Router), TypeScript
Prisma ORM, PostgreSQL
NextAuth
Vercel

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Performance Metrics

WPM = (Total Characters Typed ÷ 5) ÷ Time (in minutes)
Accuracy = (Correct Keystrokes ÷ Total Keystrokes) × 100

All metrics are computed in real time during active typing sessions.

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Roadmap

• Adaptive difficulty based on error patterns
• Leaderboard with aggregation queries and indexing
• Per-key error analytics and keyboard heatmap
• Server-side anti-manipulation verification
• Test coverage and API rate limiting