SchemaLens AI – Autonomous Data Dictionary & Schema Intelligence Agent
Link to open source: https://github.com/Sanjaychaurasia04/Hackthon2.0
SchemaLens AI is an AI-powered data schema exploration and observability tool built to simplify how developers, analysts, and businesses understand raw datasets.
The purpose of this project is to eliminate the manual effort required to inspect database structures, check data quality, and write SQL queries. By automatically ingesting CSV datasets into a structured database and layering a conversational AI interface on top, SchemaLens AI allows users to explore schemas, detect data quality issues, and generate insights using natural language.
Our goal is to make dataset understanding instant, interactive, and intelligent — especially for complex, multi-table relational data. Instead of spending hours analyzing table relationships and validating data health, users can get structured explanations, anomaly reports, and schema documentation in seconds.
For the hackathon, SchemaLens AI demonstrates how AI can transform raw data into meaningful, trustworthy insights — making data exploration faster, smarter, and more accessible to everyone.
This build was uploaded as a hackathon project
