Artificial Intelligence
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Highly motivated mechatronic engineering graduate with nine-month internship experience at Global
Automotive Organizations in the field of SCM, AI & Advanced Analytics. Developed AI-driven real-time PoC’s for driver safety. Skilled and passionate about integrating technology and safety measures. Proven ability to research, innovate and collaborate in a dynamic environment.
Advance Analysis Intern UDT India Pvt. Ltd, Bangalore
March’ 23 – June’ 23
Developed and delivered three POC’s of Advance Analytics Projects: The Projects aimed at bringing
Advanced driver assistance system in the products to improve driver safety with help of Artificial
Intelligence Technologies.
Driver Drowsiness Detection System in Real time:
Researched and made POC’s of Driver Drowsiness Detection System using different libraries like
Dlib, OpenCV, Pygame, Yolo V5, Pytorch, Mediapipe, etc. POC’s were based on many techniques for example EAR(Eyes Aspect Ratio), Machine learning and Deep learning.
Coding was done on python in Google collab and on local machine in anaconda.
Facial Recognition:
Constructed two types of POC code one using Siamese Network and Other was a Custom Model for facial detection with HAAR cascade.
These program matches facial feature that camera captures with the database and if it is above 80
percent match it displays the name of that person on screen
Detecting TISI mark on tire:
Modeled a POC for detecting TISI (Thai Industrial Standards Institute) with AI. Before this the TISI mark are on tyres were detected manually hence, many human errors were made.
POC’s was made using CNN, Keras, RNN OCR’s, Small object detection and Symbol ID identification
B. E. (MCE)
Engg. & Tech.
7.83
2019-2023
