The Goal is to create an API for Machine Learning Model so that it can be called and integrated with other applications. Resnet50 to API using Flask and Google Colab. A Pre-trained Resnet50 model from ...

At the core of this architecture is the Flask API, hosted on Gunicorn. Flask, known for its lightweight and flexible nature, is an ideal choice for serving machine learning models. Gunicorn ...

The Web application takes some of the important processing parameters as the input features and uses a random forest Machine learning model to predict its Vickers hardness. Flask API was used to ...