AI-Powered Data Intelligence Agent
Link to open source: https://github.com/pushkar0209/-NeuralData
Link to Live Project: https://neural-data.vercel.app/
Our AI-Powered Intelligent Data Dictionary Agent addresses a fundamental enterprise challenge: organizational data is widely distributed across heterogeneous systems, poorly documented, and difficult for non-technical stakeholders to interpret with confidence. As a result, business users often struggle to understand table structures, column semantics, and the reliability of underlying datasets, leading to misinterpretation, delayed decision-making, and unsuccessful analytics or AI initiatives.
The proposed platform establishes a unified metadata intelligence layer by directly integrating with enterprise databases and cloud data warehouses. It automatically extracts structural metadata and performs data profiling on live datasets to evaluate key quality dimensions such as completeness, freshness, and consistency. These signals are synthesized into a comprehensive Trust Score, enabling stakeholders to quickly assess dataset reliability.
Leveraging advanced AI capabilities, the system generates clear, business-friendly descriptions of technical assets and automatically identifies sensitive information, including potential PII, to support governance and regulatory compliance. By combining automated data quality assessment with intelligent semantic explanations, the solution transforms complex technical metadata into a transparent, trusted, and accessible knowledge foundation. Ultimately, this empowers organizations to accelerate analytics adoption, improve data governance, and make faster, more informed decisions with confidence.
This build was uploaded as a hackathon project
