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Projects

Express-Medico

Project-Leader

We have developed a web application that

enquires the user about the symptoms they have using a simple UI and predicts if the person has any among the diseases listed.

The diseases are cancer, diabetes, heart disease and liver disease. We also provide the disease identifications of malaria and pneumonia based on the scan images of the patient.

The First part of the project is implemented with the Logistic Regression model. Whereas, the second part is implemented with the help of computer vision and deep learning algorithms like vgg19 and Keras Neural Network.

Image by National Cancer Institute

Flight Price and Delay Prediction

Project-Leader

The goal of this project is to create a web application that will use a machine learning model to estimate travel pricing and delays for various flights. The user will receive the expected values, and using these as a guide, they may determine how to purchase their tickets.

Image by Justin Hu

Potato Disease Classification

Project-Leader

With the enhancement in agricultural

technology and the use of artificial intelligence in diagnosing plant diseases, Various diseases like early blight and late blight immensely influence the quality and quantity of the potatoes and manual interpretation of these leaf diseases is quite time-taking and cumbersome.

Image by Franco Antonio Giovanella
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