QualAI
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Empower qualitative researchers with AI-driven analysis tools and a community-contributed methodology library.
About
QualAI revolutionizes qualitative research by integrating advanced AI capabilities into data analysis. It functions as a Model Context Protocol (MCP) server, offering features like automatic coding, theme extraction, and saturation detection, all while upholding methodological rigor. A unique aspect is its community-driven, RAG-enhanced library, allowing researchers to share, discover, and apply diverse qualitative methodologies, fostering collaborative innovation in the field.
Key Features
- Advanced Thematic Analysis capabilities including inductive/deductive theme extraction and cross-case comparison
- Methodology Management tools for AI-assisted selection, loading, and browsing of research methods
- Community-Driven Methodology Library with RAG-powered access to shared research methods
- 0 GitHub stars
- AI-Native Analysis for automatic coding, theme extraction, and saturation detection
- Comprehensive Coding Tools for AI-powered auto-coding, codebook refinement, and intelligent merging
Use Cases
- Analyzing interview transcripts and other qualitative data with AI assistance
- Discovering and applying diverse research methodologies from a community-driven library
- Contributing novel qualitative research methods to a global research community
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