NeuroCards
A smart flashcard app powered by spaced repetition and built with modern web tech.
Tech Stack
Master Anything with Intelligent Flashcards
Key Features
Spaced Repetition Engine
Cards adapt based on how well you remember them.
Multiple Card Types
Basic, multiple choice, fill in the blank, and type the answer.
Streaks and Statistics
Track your learning progress and daily study streak.
Comprehensive RTL Support
The application fully supports Arabic translation.
Impact
Gallery
The Problem
Learners needed a modern app to memorize and retain knowledge efficiently with spaced repetition.
Project Goal
To build a fast, responsive, and powerful flashcard system with adaptive scheduling and analytics.
My Role
Solo fullstack developer: I built the backend, frontend, algorithm, and handled design decisions.
Design Decisions
Used Tailwind + Shadcn for clean UI. Multi-language & RTL support. Smooth transitions via Framer Motion.
Challenges
Designing a working spaced repetition algorithm and syncing user progress securely via Supabase.
Solutions
Used Supabase row-level security and context API for handling decks, reviews, and session logic.
Key Learnings
How to balance UX, performance, and clean architecture in a learning app.
Future Improvements
AI-generated cards from user input or PDFs. Shared decks. Better search filters.