Rakshith K.N

Collaborated with a two-person team to develop an OCR model to decode values and verify with the given kanban value that utilized (PaddleOCR) as a foundation to improve the accuracy of ambient lighting conditions for detecting required features. Developing an OCR training module utilizing the Paddle OCR module and backend logic. Writing back-end business logic for the Operators Panel and Admin Panel. Significantly boosted the model’s accuracy by 95%, which was yielding an accuracy of 70-78% under Bar dome light.

Writing back-end business logic for the Operators Panel and Admin Panel. Collaborated with a three-person team to develop an object detection model and foundation to improve the accuracy of ambient lighting conditions for detecting required features. Writing logic for reports as well as memory optimization and Dockerized every service.

Collaborated with a two-person team to develop a Bar code reader, Data Matrix Decoding, and OCR model that utilized (ZxingCpp and PaddleOCR) as a foundation to improve the accuracy of ambient lighting conditions for detecting required features. Contributed to the NCNN implementation of Real-ESRGAN. Writing back-end business logic for the Operators Panel as well as Admin Panel. Creating back-end business logic for the Operators Panel to calculate and predict the exact angle at which the label separates from the sea l.. Writing logic for reports as well as memory optimization and Dockerized every service.

Writing back-end business logic for Operators Panel and Admin Panel. Writing logic for reports as well as memory optimization and Dockerized every service.

Courses: Algorithm Design, Big Data Tools, Python Programming, Knowledge Representation and Reasoning, Artificial Intelligence, Machine Learning, Statistical Analytics, Mathematics, Statistics, Cloud Computing, Research work.