First Project "Create a simple chatbot using python""
Chat bots can provide real-time customer support and are therefore a valuable asset in many industries. When you understand the basics of the ChatterBot library, you can build and train a self-learning chatbot with just a few lines of Python code.
ChatterBot is a Python library that makes it easy to generate automated responses to a user’s input. ChatterBot uses a selection of machine learning algorithms to produce different types of responses. This makes it easy for developers to create chat bots and automate conversations with users.
Second Project "Boston House Price Prediction using python"
This project is focusing on predicting the price of house in boston, given a set of features that describe the house. I had solved this problem using Linear Regression model, in the dataset each row is describing a town or suburb in boston city. I will improved this model next week using some advanced techniques.
Third Project "Face Mask Detection using python"
During pandemic COVID-19, WHO has made wearing masks compulsory to protect against this deadly virus. In this tutorial we will develop a machine learning project , Given an input image, our face mask detection model should be able to detect if a person is wearing a face mask or not with a good amount of accuracy.
To successfully complete this project, there are three major parts we need to think about:
Part 1: Create a training dataset – We should be able to create a training dataset of face images with proper bounding boxes of human faces and annotations indicating whether the person is wearing a face mask or not.
Part 2: Train an image classification model – We should be able to create an image classification model like a Convolutional Neural Network for face mask detection. The accuracy of detection heavily relies on the type and quality of the model we will be building.
Part 3: Make predictions – We should be able to detect faces on images and make predictions on whether or not the person is wearing a face mask using our trained image classification model.
Fourth Project "Sign Language Classification using python"
Sign language is manual communication commonly used by people who are deaf. Sign language is not universal; people who are deaf from different countries speak different sign languages. The gestures or symbols in sign language are organized in a linguistic way. Each individual gesture is called a sign.
We will classify the sign language symbols using the Convolutional Neural Network (CNN). After successful training of the CNN model, the corresponding alphabet of a sign language symbol will be predicted.