Starting from

Gathering the data,

Data Understanding

Data Preprocessing

Data Analysis

Predictive Modelling

Create REST APIs in Flask

You will image processing techniques in OpenCV and the concepts behind the images. We will also do the necessary image analysis and required preprocessing steps for images.

For the preprocess images, we will extract features from the images, ie. computing n images using principal component analysis. With n images, we will train the Machine learning model and also learn to test our model before deploying, to get the best results from the model we will tune with Grid search method for best hyperparameters.

Once our machine learning model is ready, will we learn and develop web server gateway interphase in flask by rendering HTML CSS and bootstrap in the frontend and in the backend written in Python. Finally, we will create the project on the Face Recognition project by integrating the machine learning model to Flask App.

Automatic Face Recognition in images and videos

Automatically detect faces from images and videos

Evaluate and Tune Machine Learning

Building Machine Learning Model for Classification

Make Pipeline Model for deploying your application

Image Processing with OpenCV

Data Preprocessing for Images

Create REST APIs in Flask

Template Inheritance in Flask

Integrating Machine Learning Model in Flask App

Are there any class requirements or prerequisites?

Should be at-least bner level in Python

Be able to understand HTML and CSS

Any one who want to learn image processing and build data science applications

Bners on Python who want to data science project

Who want to start their career in artificial intelligence and data science

Data science bner who want to build end to end data science project



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