Project VII: Celebrity Face Recognition WebApp

In this data science and machine learning project, we classify sports personalities. We restrict classification to only 5 people. In this model firstly we collected images of the athletes from the internet and then cropped all the face detected in images using OpenCV. Then we Wavelets transformed the images to extract the key feature of the faces. Then we created a training set to train the data. We tried many algorithms but chose SVM as it was giving the best results.

June 15, 2020

Project VI: Bangalore Real Estate Price Prediction Web App

This Model/WebApp predicts real estate price in Bangalore. Many times we have come across websites like “Magicbricks.com” where they sell and estimate the price of the property in any part of the country, so this model is also inspired by the concept of predicting property prices based on the area, bedrooms, bathrooms and location. Firstly I built the model using sklearn and machine learning algorithm using Bangalore home prices dataset from kaggle.

June 11, 2020

Project V: Flower Classification Web App

This Web App is going to classify the iris flowers for us using Artificial Neural Networks (ANN). The application of machine learning methods has become present in everyday life. From recommendations of which movies to watch, to which products to buy and recognizing your friends on social media, machine learning algorithms that learn from input/output pairs are called supervised learning algorithms because a “teacher” provides supervision to the algorithms in the form of the desired outputs for each example that they learn from.