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

📰 Medium · Python

Learn to automate data quality checks and incident reporting using Python, Llama 3.2, and FastAPI

intermediate Published 25 Sept 2026
Action Steps
  1. Build a data quality checking system using Python and Llama 3.2
  2. Configure a local LLM analysis pipeline
  3. Create an incident reporting system using FastAPI and SQLite
  4. Test the automated data quality checks and incident reporting
  5. Deploy the application using FastAPI
Who Needs to Know This

Data scientists and engineers can benefit from this project to improve data quality and automation, while software engineers can learn from the implementation of FastAPI and SQLite

Key Insight

💡 Combine AI-powered data quality checks with automated incident reporting for improved data reliability

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Automate data quality checks & incident reporting with Python, Llama 3.2 & FastAPI! #AI #DataQuality #Automation

Key Takeaways

Learn to automate data quality checks and incident reporting using Python, Llama 3.2, and FastAPI

Full Article

A practical portfolio project that combines automated data quality checks, local LLM analysis, incident reporting, SQLite, and FastAPI. Continue reading on Medium »
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