Mayank Mishra

I am a computer science undergraduate from University of Petroleum and Energy Studies, India and am currently working under the guidance of Dr. Tanupriya Choudhury on various research projects. I am also grateful to be advised by Mr. Tanmay Sarkar, lecturer of Food Processing Technology at West Bengal State Council of Technical Education.

I have previously worked as an Associate Data Engineer at Celebal Technologies. My responsibilities included analyzing and drawing inference from large-scale data for a UK-based pharmaceutical company using various machine learning algorithms.

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Current Project(s)
Detecting food items with possible allergen using deep learning

Building an optimal object detection model to recognize food items with possible allergens by analyzing various object detection algorithms on a self-modelled dataset.

Project description

Patent(s)
CNN based efficient image classification system for smartphone device
Mayank Mishra, Tanupriya Choudhury, & Tanmay Sarkar,
The Patent Office Journal No. 17/2021 Dated 23/04/2021, Pg No. 20373
Publication(s)
Classifying handwritten characters of Devanagari Script
Mayank Mishra, Tanupriya Choudhury, & Tanmay Sarkar,
IEEE India Council International Sub-Sections Conference (INDISCON 21)

Built a devanagari (Indic) script handwritten character classifier using ResNet. The model achieved a state-of-the-art accuracy of 99.72% on the Devanagari Handwritten Character Dataset.

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Articles
Computer Vision: Image formation and representation
Article chosen for further distribution by Medium

This article discusses the introductory topics of Computer Vision, namely image formation and representation. The image formation section briefly covers how an image is formed and the factors on which it depends. It also covers the pipeline of image sensing in a digital camera. The second half of the article discusses various ways of image representation and focuses on certain operations that can be performed on images.

Wondering why do you subtract Gradient in a Gradient Descent Algorithm?

The article gives an easy to understand vector calculus insight that feature partial derivatives, gradient and directional derivatives to explain the reason of subtracting gradient in a gradient descent algorithm.

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