I wish to contribute towards the understanding of societal problems, identify their solutions, and ensure that no urgency of any person is subject to delay or dispute in being resolved.
Bridging the gap between man and machine is going to be crucial in this pursuit and I shall strive towards the development and application of Machine Learning techniques in order to identify and disperse issues of public and social importance.
Worked as an intern in the Digital Department of Tata Metaliks Ltd. under Mr. Barun Kumar.
Title: Diagnosis and Identification of Atrial Septal Defect (ASD) from echocardiography images and chamber dilation using Deep Learning
Mentor: Dr. Subrajeet Mohapatra
Location: Birla Institute of Technology Mesra
Status: Sent for publishing
Atrial Septal Defect (ASD) is the most common type of heart defect. Collected Echocardiography image data from Medanta Hospital Gugraon.
The model was used to predict the type of ASD present in a patient given the following image types- apical, apical color, bicaval color, bicaval.
Architectures used- Simple CNN and Customised U-Net. Decent accuracy~ 70-80% for small dataset.
Location: Institution of Engineers India
Date: 26 March 2023
I had presented a paper titled ‘Sign Language Prediction using Convolutional Neural Networks’ at the All India Seminar on Data Analytics 2023, held at the Institution of Engineers India Jharkhand State Centre on 26 March 2023. The theme of the whole event was ‘End-to-end AI Solutions and Augmented Analytics’.
I held the honour of being a delegate from my college, BIT Mesra, to this seminar.