AI-Powered Data Quality & Incident Automation Using Python and Llama 3.2

1. 1Build a data quality checking system using Python and Llama 3.2
2. 2Configure a local LLM analysis pipeline
3. 3Design an incident reporting system using SQLite and FastAPI
4. 4Test the automated data quality checks and incident reporting workflow
5. 5Deploy the application using FastAPI

Data scientists and engineers can benefit from this project to improve data quality and automate incident reporting, while software engineers can apply the principles to build scalable APIs

💡 Combining AI-powered data quality checks with automated incident reporting can significantly improve data reliability and reduce manual effort

Automate data quality checks & incident reporting with Python, Llama 3.2, SQLite, & FastAPI!