This project is in continuation with the previous semester. The previous semester's work revolved around understanding the Indian health care system, with the primary focus on all aspects related to prescriptions. This is ...

Dark patterns are user interfaces that are purposefully designed to manipulate users into taking certain actions in order to benefit a company or an organisation and are not in the user’s best interest. This report documents ...

In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...

Education is now often regarded as the most important contributor to a country’s economic prosperity and stability. Digitalization plays a key part in the development and progress of every area in today’s world. The education ...

Recent advancement in deep learning techniques has opened doors for wide variety of applications. With growing interests in deep learning and geometry, lots of computer vision problems have been tackled using deep learning. ...

We use Mean Shift clustering in the latent space of an auto-encoder to have a better representation of the data and a more structured latent space. Instead of just using the mode of the distribution calculated using kernel ...

Previous studies have demonstrated that commonly studied (vanilla) touch-based continuous authentication systems (V-TCAS) are susceptible to population attack. This paper proposes a novel Generative Adversarial Network ...

This project focused on the deployment of a deep learning model for species categorization and retraining on the cloud using the YOLOv5x architecture. The goal was to create a web application that allows users to upload ...

Critical health parameters such as SpO2 and Blood Pressure play a massive role in determining a person’s health condition, and hence their tracking and monitoring are essential. Currently, the problem with health monitoring ...

With the growing introduction of machine learning in critical domains such as healthcare, finance, law and other public services, the need for increased trust and understanding of these models is becoming paramount for ...