DeepTutor's core modules include a smart solver, question generator, and guided learning system. The smart solver uses a dual-loop architecture to provide step-by-step solutions to problems, while the question generator can create custom questions based on user input. The guided learning system generates personalized learning plans and provides interactive pages and smart Q&A to support learner progress.
DeepTutor also features a deep research module that enables users to conduct in-depth topic exploration and generate research reports. The system includes a citation management system and supports multiple tools, including RAG, web search, and code execution. Additionally, DeepTutor offers a notebook feature that allows users to manage their learning records and connect outputs from various modules to create a personalized knowledge base.
