ChronosData AI — Metadata Governance Assistant

ChronosData AI is a lightweight AI-powered metadata governance assistant built using Spring Boot.

The project allows users to:

• ask questions about their data using natural language
• validate metadata before deployment
• detect missing governance information
• identify sensitive datasets
• generate metadata health scores

It is designed as a beginner-friendly backend + AI project inspired by modern data governance and observability platforms.

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Features

AI Data Chat

Ask questions like:

Who owns the orders table?

Example response:

orders table is owned by data_team

The system extracts metadata-related information from user queries and returns readable answers.

Metadata Validation

Validate metadata before deployment by entering:

table name owner

The system checks for:

missing owner information missing table name sensitive table detection deployment readiness

Metadata Health Score

Every validation generates a metadata health score.

Example:

 Metadata Health Score: 50/100

 Missing owner

 Sensitive data detected

 Deployment Blocked

Sensitive Data Detection

ChronosData AI detects potentially sensitive datasets such as:

payment data salary data customer data

This simulates governance and compliance checks before deployment.

Docker Support

The application is containerized using Docker.

Run with:

docker compose up --build

Tech Stack

Java Spring Boot HTML CSS JavaScript Docker REST APIs OpenAI API (with fallback logic)

Screenshots

Main UI

Metadata Validation

Run Locally

Clone the repository

git clone https://github.com/shrutisharma-sh/ChronosData-AI.git

Run the project mvn spring-boot:run

Open:

http://localhost:9090/index.html

Project Goal

ChronosData AI was built to explore:

AI-assisted metadata systems governance validation backend engineering observability concepts Docker-based deployment

while keeping the project lightweight and beginner-friendly.

Author

Shruti Sharma