Shuvro77/Turbofan-Predictive-Maintenance

docs: add MIT license

Remove redundant part from Readme

fix: correctly track images with git lfs from the start

docs: add deployment info and automated deployment note

fix: correct yaml indentation for action triggers

ci: add GitHub Action to sync with Hugging Face

feat: complete cloud deployment and enhanced benchmarking

chore: use git lfs for model and scaler

fix: add Hugging Face metadata header to README

Change port for Hugging face deployment

feat: optimize docker image to 1.77GB using multi-stage builds and tensorflow-cpu

fix readme and add FastAPI documentation

docs: add stress test results and instructions to README

Containerized the project

Added script for benchmarking test

fix README with testing the api facilties

feat: implement pre-padding for short sequences and update docs

Testing procedure in README

Added fast api and script to generate test data

Uploading trained artifacts and requirements

Initial commit: FastAPI structure and training notebooks

Initial commit