Data Engineering Lead - Uber
Big Data Engineer, Beyond Limits
Data and Blockchain Professional
Principal Software Engineer, Afiniti
Perform model deployment on GCP for resume parsing model using Streamlit App.
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Business Objective
The resume parser application can take in millions of resumes parse the needed fields and categorize them. We use popular python libraries like Spacy and OCR text classifications. In this project, for ML model deployment, there are two initial assumptions, first that there is an ML model built and, second, there is an interface available for the model (Streamlit app)
We aim to create the ML model deployment project by using the google cloud platform (GCP). Here, GCP is used as a cloud provider. But first, we would suggest you go through the former project, Resume parsing with Machine learning - NLP with Python OCR and Spacy, before starting this project.
Aim
To deploy the machine learning model for the ‘Resume parsing with Machine learning - NLP with Python OCR and Spacy’ project on Google Cloud Platform (GCP)
Tech stack
Approach
Three components for ML model deployment
Steps:
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