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Introducing CASCADE, a GenAI-driven study companion, revolutionizing personalized learning. Addressing diverse learning styles, CASCADE offers a suite of AI tools, including a GenAI chatbot, customizable timers, a dynamic study planner etc.
A full-stack flashcard study application built with the MERN stack and GraphQL. Create custom decks, import flashcards from CSV files, track your learning progress with detailed analytics, and share decks with the community. Features JWT authentication, responsive design, and real-time performance tracking.
Mnemo is a free, open-source study application built with Avalonia UI and .NET 8.0, designed to help students, researchers, and lifelong learners master any subject.
Reversible Learning is a study app to help users organize notes for multiple classes and archive past questions for easy access to their knowledge. It provides a convenient way to keep track of learning and study material.
This repository contains the source code for FlashCards, an Android app built using Kotlin and Room Database. The app allows users to create, organize, import/export, and manage flashcard sets for effective studying or learning.
StudySage is an AI-powered study app that lets students take notes, generate quizzes, and ask questions using OpenAI. Built with Next.js 15, Supabase, Prisma, and shadcn/ui for a smart and seamless learning experience.
🍅 React Pomodoro Timer app with task management, progress tracking, and modern UI design. Built with Firebase, Tailwind CSS, and Framer Motion for analytics and responsive design.
Flutter-based collaborative study app with task management, quizzes, and real-time updates via Firebase. Enhances student productivity and knowledge sharing.
A Python-based Flash Card Application with a graphical user interface (GUI) built using Tkinter. It helps users learn new words or concepts by displaying and flipping flashcards.
A simple app made for mobile, for rapid studying using swipe-based flashcards — think Tinder meets spaced repetition. Swipe right to mark a card as "known," left to keep reviewing. Designed for minimal friction, maximum recall.