Graduate Research Intern, Intel Bangalore, India

I was an intern at Intel Bangalore, India from Sep, 2019 to April, 2020.

OMEGA-2.3 in CSIR-CSIO Chandigarh, Project Fellow

The main aim of the project was to collect dataset; vehicles (JCB, ACE & urban vehicles, humans etc.) using thermal IR camera (E60 and Xenics), generate algorithms groundtruth generation and deep learning for classification.

Infrared Imaging Based Target Recognition using Deep Learning Method @ M.E Thesis

In this work, deep learning method is applied to categorize infrared imaging based targets and to analyse the robustness of deep learning method under difficult conditions. Convolutional neural network is employed for automatic feature extraction and recognition. The system is used to classify three categories of objects namely four wheeler, three wheeler and pedestrian and the fourth category of negative images. The proposed framework was being used as a post-processing system followed by a detection framework to categorize the objects in surveillance. The project was done under the joint supervision of Dr. SS Pattanik (Director, NITTTR Chandigarh) and Aparna Akula (Scientist, CSIR-CSIO Chandigarh).

Development of Artificial Neural Network for Medical Applications @Internship at NITTTR Chandigarh

This project dealt with developing neural network based architectures using back-propagation algorithms for early detection kideny cancer into benign and malignant. This internship was done under the supervision of Dr. S.S Pattnaik, Director, NITTTR Chandigarh.

Speed Control DTMF Robot @Internship at RAD INNOVATION, Mohali.

In this two-months internship, a moving Robot was build which was controlled through mobile phones using DTMF signals.