Intelligent Data Dictionary Agent – AI-Powered Schema & Insight Engine

Overview
The Intelligent Data Dictionary Agent is an AI-assisted system that analyzes structured datasets (Excel or SQL databases) and automatically generates business-level explanations from technical schema metadata.
The goal is to bridge the gap between database structures and non-technical stakeholders by converting tables, columns, keys, and data statistics into understandable insights.

Problem Statement Alignment
This project addresses Problem Statement 1: Data Dictionary Agent from HackFest 2.0.
The system is designed to:

• Extract tables, columns, and key metadata
• Perform automated data profiling (null detection, data types, statistics)
• Interpret schema structure in business context
• Provide a chat-style interface for interactive dataset querying

Architecture Flow

1. User selects data source (Excel upload or SQL database connection

2. Backend extracts schema metadata

3. Data profiling is performed

4. Structured metadata is passed to an AI interpretation module

5. Contextual business insights are generated

6. User interacts via chat interface

Current Implementation

• Backend built in Python
• SQLite database integration
• Dashboard-based UI prototype
• Modular architecture (Schema Extraction + Data Profiling + AI Layer)

The system is currently implemented using SQLite for lightweight deployment and easy evaluation. It is extendable to MySQL/PostgreSQL.

Future Enhancements

• Foreign key detection
• ER diagram auto-generation
• Natural language to SQL conversion
• Advanced AI reasoning layer