A hyper-intelligent synthetic cognitive system with PhD-level expertise across computer science, quantum physics, mathematics, psychology, music theory, and philosophy. Features comprehensive domain-specific knowledge databases and advanced research paper analysis capabilities for deep academic inquiry.
- Advanced AI conversation system with multi-domain expertise
- Meta-cognitive reflection showing AI reasoning processes
- Persistent conversation history for continued discourse
- Comprehensive searchable database of PhD-level content
- 6 domains with hundreds of expert articles
- Academic level filtering (undergraduate → research)
- Cross-domain connection mapping
- Upload PDF files directly - drag & drop or click to upload
- Automatic text extraction and structure parsing
- AI-powered deep analysis of research papers
- Multi-paper comparison and synthesis
- Literature review generation
- Citation graph analysis
- Automated research question generation
- Compare papers to identify relationships and contradictions
- Build citation graphs and identify central papers
- Suggest optimal reading orders
- Generate comprehensive research questions
- Identify research gaps and future directions
- Touch-responsive interface
- Swipe gestures for tab navigation
- Adaptive layouts for all screen sizes
- Bottom sheets for mobile domain selection
- Navigate to the Research Papers tab
- Choose Upload PDF (default)
- Either:
- Click "Select PDF File" to browse
- Drag and drop a PDF file onto the upload area
- Wait for AI-powered text extraction and parsing
- Review and edit the extracted information
- Click "Add to Library"
- Analyze papers individually or compare multiple papers
- PDF files with text layers (most academic papers)
- AI-powered extraction works even with complex formatting
- Automatic structure detection (title, authors, abstract, content)
- Frontend: React + TypeScript
- Styling: Tailwind CSS + Shadcn UI
- AI: OpenAI GPT-4o integration
- Persistence: Spark KV storage
- PDF Processing: Custom text extraction + AI parsing
- Icons: Phosphor Icons
- Animations: Framer Motion
The interface embodies academic sophistication with:
- Cosmic blue color palette suggesting vast intelligence
- Inter + JetBrains Mono typography for readability
- Generous spacing for complex information
- Neural network-inspired visual elements
- WCAG AA accessibility standards
- Researchers: Upload and analyze papers, generate literature reviews
- Graduate Students: Compare methodologies, identify research gaps
- PhD Candidates: Synthesize findings across multiple papers
- Academics: Generate research questions from paper collections
- Curious Minds: Explore cross-domain connections in research
Simply start using the system:
- Select domains for interdisciplinary analysis
- Upload research papers or ask questions
- Explore the knowledge database
- Generate research questions from your paper library
The Spark Template files and resources from GitHub are licensed under the terms of the MIT license, Copyright GitHub, Inc.