[Feature Request]: General ideas #173
Description
Feature Request: From "Smart PDF" to "Universal Master Tutor"
Hi Team,
I've been thinking about the long-term vision of DeepTutor. Right now, it's a great tool for indexing and chatting with documents. But to become a truly State-of-the-Art platform for any complex subject (whether it's my German grammar, an 800-page anatomy book, or legal documentation), it needs to move beyond "Passive retrieval".
Here are 4 feature clusters that would make DeepTutor the undisputed leader in AI-driven education across all domains.
1. Deep Knowledge Tracing (The "Brain" Map)
The Goal: Eliminate "Amnesia". The system should know exactly what I've mastered and where I'm failing across my entire knowledge base.
- Subject Agnostic Mastery: Don't just track words. Track concepts. Whether it's "Biliary Tract Anatomy" or "Dative Prepositions", the AI needs a probabilistic map of my knowledge.
- Predictive Assistance: If the RAG retrieves a complex topic that depends on a prerequisite I haven't mastered yet, the AI should catch it. "Hey, you're looking at Section X, but you historically struggle with the underlying concept Y. Want a 30-second summary of Y first?"
2. Generative UI: "Active" Learning Components
The Goal: Stop being a text-based chat. Start being an interactive workbench.
- Dynamic Asset Conversion: When I'm studying a technical manual or an anatomy book, don't just "show" me the table. Use GenUI to turn it into an interactive labeling exercise or a decision-tree simulator on the fly.
- Contextual Mini-Apps: If I ask "How does this circuit work?", the AI shouldn't just explain; it should render a small, functional logic-gate simulator component in the chat window based on the PDF diagram.
3. Multimodal "Skill" Assessment (Beyond Text)
The Goal: Moving from "Knowing" to "Doing".
- Pattern Recognition Feedback: For subjects involving sound (languages, medicine-auscultation), or visuals (radiology, circuit design), the AI should assess my input.
- High-Resolution Correction: I should be able to record audio or upload a sketch, and the AI should tell me exactly where it deviates from the "Gold Standard" found in the Knowledge Base (e.g., "Your sketch of the liver is missing the Gallbladder fossa, see Page 42").
4. High-Fidelity Simulation Engine
The Goal: Practice in safe, dynamic environments.
- The Drama Engine: Use the long context to create complex, adversarial simulations.
- Medicine: A patient simulation where the person's condition worsens if I ask the wrong questions.
- Law/Business: A negotiation simulation where the "partner" reacts emotionally to my offers.
- Infinite Scenarios: The AI should use the Knowledge Base as the "Source of Truth" for rules and data, but generate infinite, non-repetitive practice scenarios.
Implementing these would move DeepTutor from a "Document Helper" to a Universal AI Tutor that rivals high-end human coaching. The tech exists—it's time to integrate it!
PS also u could integrate the new qwen 3 TTS