Software Engineer from Mumbai, India.

Bhargav Makwana  • Peerlist

This project entailed finding the type of fault that existed in roller bearings. The dataset contained values of acceleration in X and Y direction. At first, we denoised the dataset using Wavelet based soft thresholding and Savitzky Golay Filter. Then, we extracted essential features from the data by dividing it into different classes. After that, we selected the essential features using Principal Components Analysis. Finally, we identified the type of fault in roller bearings using k-means and Dendrogram Clustering with an accuracy of 80%. We used Python programming language for writing code.

Fault Diagnosis of Roller Bearings

Gesture Based - Touchless ATM demonstrates a novel way of interacting with ATM machines without the user having to physically touch any part of it. It aims to eliminate the risk of transmission of infectious diseases - such as COVID-19 - that spread through touch. In this project, the need of physical identification devices such as bank cards is eliminated by making use of Facial Recognition - user is identified based on their face. The project eliminates the need of physical touch by making use of Hand Tracking and Hand Detection. It recognises virtual click inflicted by fingertip position and takes action accordingly. For better understanding and visual demo, please follow GitHub link of the project.

Gesture Based - Touchless ATM

• Developed a system that produces review summaries of various features of an online product and assigns a sentiment score to each feature summary. • Built a feature extractor model that learns the salient features, vital to potential buyers of the product, from the reviews using deep LSTM architectures employed using Keras. • Implemented Summarisation Algorithm using Integer Linear Programming approach for determining suitable text to be presented as a summary. • Presented a thesis based on this research as part of final year project in VJTI and earned 10/10 grade. • Co-authored and published a paper ‘Opsum: Topic Based Opinion Summarization and Sentiment Analysis’ in International Journal of Engineering Research and Applications. ISSN: 2248-9622 Vol. 8, Issue 9 (Part -III) Sep 2018.