Natural-language spreadsheet and visualization interface for turning tabular data into explainable insights.
This project explores the same problem space as enterprise Text2SQL and natural-language analytics: users should be able to ask practical questions of messy business data, inspect the answer path, and move from raw rows to a decision-ready visualization.
- React and TypeScript product implementation
- Natural-language data exploration patterns
- Spreadsheet ingestion and visualization workflow thinking
- Analyst-facing UI design for data-to-insight use cases
- Vite
- React
- TypeScript
- Tailwind CSS
- shadcn/ui
- LangChain and data/visualization libraries
npm install
npm run devCreate a local .env from .env.example if you need Supabase-backed features. Do not commit real environment values.
Portfolio-ready implementation artifact. Kept public because it supports the AI solutions/data strategy story: natural-language analytics, visualization, and practical user workflows.