Qonqur is an AI-powered knowledge exploration platform designed to help users learn, brainstorm, and connect ideas across math, science, and creative disciplines. Built for students, researchers, and anyone seeking to understand complex concepts, Qonqur stands out for its intelligent handwriting recognition, virtual hands gesture controls, and seamless mind mapping. Instead of switching between apps and chatbots, users engage directly with their thoughts on a digital canvas, merging traditional note-taking with real-time AI assistance. The tool aims to enhance thinking and creativity, not replace users, making it particularly useful for interactive, visual, and STEM learning.
Qonqur aims to transform how people interact with information by combining a free-form canvas, gesture-based controls or simple input, and flexible content types like documents, sketches, diagrams, math, PDFs or web links. Users begin by uploading research articles, notes, or other documents. Qonqur then helps auto-organise them into interactive maps based on citation or knowledge dependencies so content becomes navigable and visually structured. On the canvas you can write, draw, annotate, sketch diagrams, or link items whether words, drawings, math formulas or sketches enabling a mixed approach of freehand notes and structured data. For brainstorming or idea generation the tool supports dynamic boards where you can create and connect nodes, rearrange thoughts with gestures, embed multimedia (images, video) or diagrams and see ideas evolve visually. Because it works with a webcam (or compatible device), there is no need for special hardware such as VR gear. Basic setup lets learners, researchers, students or teams interact directly with material, explore relationships, group concepts, sketch, annotate or map learning paths giving a flexible alternative to static documents or slide decks. This approach makes Qonqur useful for research reviews, study planning, brainstorming sessions, visual note taking, presentation preparation, learning workflows or conceptual mapping especially when dealing with complex or interconnected information.
Allows organising multiple articles or documents into a visual map reflecting knowledge dependencies.
Supports freehand writing, sketches or diagrams alongside typed content for flexible expression.
Gesture control or simple input makes navigation and editing more fluid than static note tools.
Works on ordinary devices with a webcam no need for expensive VR gear or specialized hardware.
Supports multimedia and varied content types text, PDFs, images, diagrams useful for research, design or learning.
Enables collaborative or personal knowledge organization, useful for students, researchers, creative teams, or learning workflows.
Offers an unconstrained canvas lets ideas, notes and research evolve freely without rigid structure.
Because of its open canvas and gesture control the interface may feel unfamiliar to users used to traditional note-taking or slide tools.
Automatically organising many articles may produce messy or unclear maps without manual cleanup.
Heavy documents or large data sets may lead to cluttered visual maps requiring effort to manage.
Some interactions (gestures, drawing, re-arranging) may be less precise compared with typed note tools or dedicated drawing apps.
Dependence on webcam or proper lighting may limit usability in some setups or devices.
For users preferring linear or document-based workflows, the spatial canvas approach may feel chaotic.
As a newer tool, long term stability, data privacy assurance or broad user feedback may be limited.
