Simardeep Singh Sethi Email and Phone Number

Project: MAVIPI: Prof. Chetan AroraWorking on a wearable device for providing mobility assistance for visually impaired individuals. Handled the control system and created inference pipeline on Raspberry Pi. Worked on numerous scene text detection and recognition models and ported the models to OpenVino IR for seamless inference on MYRIAD device

Worked on numerous projects ranging from Automatic Grading of Embryology Images to Automation tasks and creation of data dashboards.

Exploring novel attention-based accident-prone detection methods. Used Bidirectional LSTM and attention module with Siamese architecture for finding results. This project was followed by a research paper published in IEEE' DELCON 2022: A Comprehensive Study of Accident Detection Approaches.

Worked under the supervision of Dr Ashley Scillitoe and Dr Bryn Ubald from Equadratures(NumFocus) to create a dashboard for uncertainty quantification. Project Details: https://summerofcode.withgoogle.com/archive/2021/projects/5692882282872832

Created a deep learning model for glucometer device while maintaining a good accuracy-latency tradeoff. Achieved an accuracy of 97% on the problem statement, with the model being implemented on the company's application