
PDF-CRAB PDF-CRAB is an AI-powered note consolidation platform designed to transform scattered study material into structured, high-quality master notes. Instead of manually reading through multiple PDFs, images, or handwritten notes, users can upload their resources and let the platform intelligently extract, compare, merge, and organize the information while eliminating duplicate content. Built with a modern full-stack architecture, PDF-CRAB combines AI-driven document understanding with an intuitive, pixel-inspired interface to create a seamless study experience. The application also supports blockchain-backed proof publishing on the Monad network, allowing generated notes to be verifiably timestamped and authenticated without exposing their contents. Designed for students, researchers, and professionals, PDF-CRAB focuses on one goal: helping users spend less time organizing information and more time learning from it. Core Features AI-powered PDF and image processing Intelligent duplicate detection and content consolidation Clean, structured Master Notes generation Secure cloud-based note management Blockchain proof publishing with Monad Modern responsive interface inspired by retro pixel aesthetics Tech Stack Next.js • TypeScript • Tailwind CSS • Supabase • OpenAI • PDFKit • Monad Blockchain • Hardhat • Vercel
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