Contributed to the Galactic observation studies by building a Galaxy classification model

A deep learning model, deployed on Google Colab because my local machines couldn't handle the processing requirements during the training phase. It helped in processing space scans sent back from telescopes by generating classifications of individual galaxies according to their morphologies.

A detailed study in form of an article has been published in Earth Science Informatics, Springer, Singapore in 2020

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Created a Machine learning model intended to perform Real-time emoji predictions for text messages

& published my findings in 2019

The model demonstrated on device low-cost computing possibility of predicting user sentiments in form of emoticons, (1200+ in 2019) and suggesting them to enhance user experience.

The findings were presented by me to the Indian chapter of an International Conference by Springer, Singapore in 2019

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Contributed a chapter on Image segmentation using deep learning techniques over medical images, to a book published by Springer, Singapore in 2019.

The chapter was an insight into the world of automated image segmentation of brain tumor slices using various available techniques and delving into the capabilities of various approaches possible for the task.

The book has sold close to 7000 Copies! (as of Quarter 1, 2021)

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