π§ͺπ§ βοΈπ End-to-end MLOps framework for chemical engineering models.
π§ͺ β chemical engineering data π§ β intelligent ML models βοΈ β automated pipelines and infrastructure π β deployment, scalability, and production-readiness
- ETL pipeline for experimental and simulated thermo/control data
- Model training with MLflow tracking
- FastAPI inference service
- Dockerfile for containerized deployment
- GitHub Actions for CI/CD
python -m venv .venv && . .venv/Scripts/activate
pip install -r requirements.txt
uvicorn inference.api:app --reload