Nimesh Yadav

Work place: Department of Computer Engineering, School of Technology Management and Engineering, NMIMS University, Mumbai, India



Research Interests: Data Structures and Algorithms, Computational Learning Theory, Artificial Intelligence, Computer systems and computational processes


Nimesh Yadav is a research scholar and currently pursuing dual degree course of Bachelor of Technology in Computer Engineering (CSE) and Master of Business Administration in Technology Management degrees from Mukesh Patel School of technology management and engineering, NMIMS University, Mumbai, India. He is currently working as a research scholar and a python developer intern in IBM and Phemesoft. His research interest includes research on applications of machine learning, deep learning, and artificial intelligence. He has also developed and created various large-scale projects on these topics.

Author Articles
Generation of Images from Text Using AI

By Nimesh Yadav Aryan Sinha Mohit Jain Aman Agrawal Sofia Francis

DOI:, Pub. Date: 8 Feb. 2024

Reading the words can be confusing, and it may be hard to picture what is happening. There are some circumstances where words can be misunderstood. It's much simpler to recognize text if it's displayed as an image. The use of visuals is proven to increase viewership and retention.
Synthesizing realistic images automatically is a challenging undertaking, and even the most advanced artificial intelligence and machine learning algorithm has trouble meeting this standard. GANs (Generative Adversarial Networks) are just one example of a powerful neural network architecture that has shown promising results in recent years. Existing text-to-image methods can generate examples that generally reflect the meaning of the provided descriptions, but they often lack the necessary details and colorful object elements.
The primary objective of our research was to explore diverse architectural methodologies with the intention of facilitating the generation of visual representations from textual descriptions. By delving into this investigation, we aimed to discover and examine various approaches that could effectively support the creation of visuals that accurately depict the content and context provided within written narratives. Our aim was to unlock new possibilities in the realm of visual storytelling by establishing a strong connection between language and imagery through innovative architectural techniques.

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Augmented Reality and its Science

By Nimesh Yadav Aryan Sinha

DOI:, Pub. Date: 8 Dec. 2022

Massive innovation enhancements all through the world have ignited wild rivalry among organizations, with each endeavoring to draw in clients utilizing an alternate methodology. Augmented Reality is a relatively new approach (AR). AR is a relatively latest technology which can provide better possibilities than other inventions to match. Conduct of genuine items under specific circumstances, which is especially pertinent to this work. Unfortunately, developing realistic 3D material is difficult in and of itself and necessitates a lot of human labor. Data analysis requires the use of scientific visualization. Augmented Reality (AR), on the other hand, is a relatively new trend that includes the overlay of computer visuals on the actual environment. In this review, we utilize both of these tools to analyze logical information. As a result, we may use graphical representations derived from numerical statistics to enrich reality. A simulated system can likewise be put in an authentic climate to get further knowledge into a peculiarity. essential.

This paper reviews research work done in Augmented Reality including the history and technologies that enable augmented reality like the devices and various means of merging real world with virtual world like tracking types. The review gives detailed explanation of various applications where AR is currently being used and discusses future significance of AR where it will be necessary for AR-technology to co-exist with mankind. AR technology is constantly improving and upgrading makes it exponentially more valuable for businesses to adopt AR tech for better profitability. 

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