Real-time machine learning projects are the type of projects where a user can interact and get real-time output based on user actions rather than running the program over and over after each action. In this article, I will introduce you to three real-time machine learning projects solved and explained using python.
Real-time Machine Learning Projects
Real-time Sentiment Analysis:
This is a beginner level project for you, as most of the work in this project is done using the NLTK library in python. Here the user will give some input text and our app will classify whether the sentiment of the text entered by the user is positive or negative.
I have used the streamlit library in Python to present this app as a web app. So this project will be a good hands-on project for you to get started with real-time machine learning projects. You can find this project explained using Python from here.
Real-Time Text Emotions Detection System:
Detecting emotions may be possible for a human, but for a machine it is not that simple. We need to train a machine learning model for this task that can detect the emotion behind the text entered by a user.
This is not a sentiment analysis because in sentiment analysis we have to predict whether the text is positive or negative. But in this task, we have to predict whether the emotion behind a text is joy, anger, sadness, disgust, shame, guilt, or any other emotion you can think of. You can find this solved project using python from here.
Real-time Face Mask Detection System:
The masks were compulsory to use during the COVID-19 peak as the pandemic changed the way people went to work or go out with friends. Many public places were only open to people if they wore masks. It can become a difficult task for a human employee to check and alert all people who are not wearing masks.
So we can create a machine learning application for this task that can detect whether a person is wearing a mask or not. I used the OpenCV library in Python to detect a person’s face, then trained a neural network to detect whether the person is wearing a mask or not. You can find this solved project using python from here.
So these were some of the best real-time machine learning projects that I have created using the Python programming language. To turn a machine learning application into a real-time machine learning application, you need to think about how you can create an interactive user interface for it or how you can open another program in your systems, like a camera and audio recorder or whatever becomes part of your machine learning application. Hope you like this article on real-time machine learning projects using Python. Please feel free to ask your valuable questions in the comments section below.