Applied AI and automation engineering project inside the NeoAutomationLabs portfolio.
This repo is part of NeoAutomationLabs, focused on applied AI, workflow automation, machine learning systems, and business-ready software infrastructure.
- Clean project structure
- Python source modules
- Testing foundation
- API-ready backend structure
- Deployment documentation
- Automated testing foundation
User or Business Input -> Data Processing -> AI/ML/Automation Logic -> API/Service Layer -> Dashboard or Workflow Output
- src/ core project logic
- tests/ automated tests
- docs/ documentation
- examples/ example usage
- config/ configuration notes
- logs/ logging placeholder
Python, Flask, Machine Learning, NLP, OpenAI API, GitHub Actions, Docker, Render, Automation Workflows
git clone https://github.com/jolleyleads/ml.git cd ml python -m venv venv venv\Scripts\activate pip install -r requirements.txt pytest
This project demonstrates practical AI engineering: turning manual workflows, scattered data, and slow decision-making into structured, automated systems.