https://github.com/leosolar8/master-flashcards

Spaced-repetition flashcard learning app for language and knowledge retention. Features CRUD vocabulary management, 12-level learning bins, adaptive scheduling, review analytics, and gamification.
https://github.com/leosolar8/master-flashcards

adaptive-learning crud-application education flashcard fullstack javascript learning-app python spaced-repetition

Last synced: about 1 month ago
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Spaced-repetition flashcard learning app for language and knowledge retention. Features CRUD vocabulary management, 12-level learning bins, adaptive scheduling, review analytics, and gamification.

• Host: GitHub
• URL: https://github.com/leosolar8/master-flashcards
• Owner: LEOSOLAR8
• Created: 2025-08-08T20:16:01.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-09-24T07:20:22.000Z (8 months ago)
• Last Synced: 2026-01-07T04:15:19.357Z (4 months ago)
• Topics: adaptive-learning, crud-application, education, flashcard, fullstack, javascript, learning-app, python, spaced-repetition
• Language: TypeScript
• Homepage: https://master-flashcards.vercel.app
• Size: 48.9 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Hiring FlashCard Mini Project (Pedro Colmenares) For ShortForm

📩leo.pedrocolmenares@outlook.com

A flashcard-based spaced repetition learning app to help users retain knowledge over time.

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## 📦 Tech Stack

This project was built using the following tools and technologies:

- **Frontend:** [React](https://reactjs.org/) with [Vite](https://vitejs.dev/)

- **Styling:** [Tailwind CSS](https://tailwindcss.com/)

- **Backend:** [Supabase](https://supabase.com/) for authentication, database, and API

- **Deployment:** [Vercel](https://vercel.com/)

- **Version Control:** Git + GitHub

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## 🛠 Development Notes

- No specific starter kit or framework was required for this project.

- Chose **React + Vite** for fast build times and flexibility.

- Used **Supabase** for user authentication and database management.

- **AI Assistance:** Parts of the boilerplate code and some debugging were assisted by OpenAI’s ChatGPT and POE.

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