Effective communication between teachers and students is essential in today’s educational environment. This project presents a transformer model that has been designed for the ed- ucational environment. With the use of ...

Reinforcement learning is a technique that enables agents to learn optimal behaviors through interactions with their environment, using rewards and penalties to shape their actions. In this project, we address the challenge ...

This work investigates the use of Neural Style Transfer (NST) with the VGG19 network to achieve artistic manipulation of natural images. NST offers a powerful technique to create new images by combining the content of a ...

Epileptic seizures occur due to disorder in brain functionality which can affect patient’s health. Prediction of epileptic seizures before the beginning of the onset is quite useful for pre- venting the seizure by ...

Reading and understanding similar type of requirements using human interventions can be a laborious and time-consuming task. However, the complexity of natural language makes it difficult to accurately identify semantic ...

A multi agent system(MAS) in the context of artificial intelligence refers to a system composed of multiple interacting agents, which can be entities or robots. These agents work together or compete to achieve individual ...

Recruitment agencies and firms encounter a significant challenge in handling the mul- titude of resumes they receive daily, which come in various formats such as PDFs, DOCX files, and with diverse layouts. Extracting ...

This work presents the development of a robust hand gesture classification system based on surface Electromyography (SEMG) signals, designed for real-world applications. The project utilized data collected from subjects ...

The eighth most common cause of death and the top cause of death for people aged 5-29 are traffic accidents. Automated vehicles and driver-assistance systems have emerged as a promising alternative to lower the number ...

Lung diseases are widespread worldwide, including conditions such as lung nodules, pneu monia, asthma, tuberculosis, fibrosis, etc. It is crucial to diagnose lung disease promptly. In this study, wavelet-based Convolutional ...