AI Data Dictionary Builder (SaaS Automation)

I built an AI-powered SaaS application that automatically generates complete data dictionaries, business glossaries, and metadata summaries from uploaded CSV/Excel files. The system uses GPT-4 and Groq embeddings to analyze datasets and produce business-friendly documentation in under 10 seconds, deployed as a full-stack application with React frontend on Vercel and FastAPI backend on AWS Lambda.

Implemented automated schema profiling using Pandas/Polars to analyze column types, missing values, cardinality, and statistical distributions. Built an AI description generator that prompts GPT-4.1 with column statistics to create clear, business-friendly descriptions. Developed glossary clustering using vector embeddings and cosine similarity to group semantically related columns, with LLMs automatically naming the groups.

Created a comprehensive data quality automation engine that flags inconsistent casing, invalid dates, mixed types, and outliers with automatic correction suggestions. Built a multi-format export engine generating downloadable PDF, Markdown, and Excel reports with auto-formatted glossaries and metadata summaries. The system handles datasets up to 2 million rows with secure S3 file storage, JWT authentication, and automatic cleanup. Achieved 90% reduction in manual documentation time, tested on 20+ real-world datasets from eCommerce, Finance, and HR domains, serving PMs, analysts, data engineers, and QA teams.