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The PaperMind app is designed to enhance the research experience for academic professionals by providing an intelligent memory system and AI-powered insights. It allows users to upload research papers, visualize connections between ideas, and access advanced reading features. To use the app, users can upload PDF files or provide URLs to research papers. Once uploaded, the app processes the documents and enables users to interact with the content through a memory graph that visualizes relationships between key highlights and concepts. Users can search for specific highlights, filter results, and select nodes in the graph to view detailed information about the associated research. The app is built using modern web technologies, including TypeScript and React, with a focus on responsive design to accommodate both desktop and mobile users. It utilizes the Next.js framework for server-side rendering and routing, and employs Tailwind CSS for styling, ensuring a clean and user-friendly interface. Key features of the PaperMind app include: - A memory graph that visually represents connections between research highlights. - The ability to upload papers directly or import them via URLs. - AI-powered explanations for selected text, enhancing understanding of complex concepts. - A search function to quickly find specific highlights or papers. - Responsive design that adapts to different screen sizes, making it accessible on both desktop and mobile devices. - Integration with a toast notification system to provide feedback on user actions, such as successful uploads or saved highlights. Overall, PaperMind aims to streamline the research process, making it easier for users to read, understand, and connect various academic papers.