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Jul 23, 2023Beginner's Guide to Deploying a Machine Learning API with FastAPI - MarkTechPost
Mar 28, 2025In this guide, you will learn how to deploy a machine learning model as an API using FastAPI. We will create an API that predicts the species of a penguin based on its bill length and flipper length.
Congratulations! You have successfully deployed a machine learning API using FastAPI. This guide covered:
Feel free to reach out if you have any questions or need further assistance!
Nikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.
PrerequisitesStep 1: Set Up Your EnvironmentCreate a Project DirectorySet Up a Virtual EnvironmentInstall Required PackagesStep 2: Prepare Your Machine Learning ModelDownload DatasetCreate a Python Script for the ModelStep 3: Create the FastAPI ApplicationCreate the Main Application FileStep 4: Run Your FastAPI ApplicationRun the ApplicationAccess the APIStep 5: Test Your APIUse Swagger UIConclusionNext Steps