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🧠 ML Model Testing & Deployment with Flask and FastAPI

This repository demonstrates how to test and deploy a machine learning model using two popular Python web frameworks: Flask and FastAPI.

πŸ“ Folder: Basic Framework

Included:

  • Model training and serialization
  • REST API implementation with Flask and FastAPI
  • Local testing with sample input
  • Basic request testing scripts

πŸ‘€ Author

Vishal Malik
πŸ”— LinkedIn
πŸ”— GitHub

About

his project demonstrates how to deploy machine learning models into production environments. It covers building, saving, and serving ML models through APIs or web applications, enabling real-time predictions and easy integration with other systems.

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