Embedded systems and NLP Language Translation using Raspberry Pi
Authors: Vedansh Kumar, Bhavpreet Singh, Umrah Zargar and Arvind Kumar
Publishing Date: 26-04-2022
ISBN: 978-93-91842-08-6
Abstract
Internet of Things, in general, is thought to be a dynamic and extensively allotted networked machine composed of a massive variety of identifiable clever gadgets. These gadgets can communicate and interact amongst themselves, and with end-users or different entities withinside the network. One of such a chip is called Raspberry Pi which is a fully customizable and programmable small computer board which can run complex tasks at a tremendous speed which is suitable for our tasks despite having a few disadvantages, the Raspberry Pi stays and less expensive pc with its very effective utilization in various variety of studies programs in IoT and Machine learning.One such use, considered here is its ability to send voice messages over the network through various methods. That in turn can be stacked up with Machine Learning and its various utility, one of the such being Natural Language processing. Understanding the words being conveyed to convert them into text stays it’s one of the most used application
Keywords
IoT (internet of things), NLP (natural language processing), Embedded systems.
Cite as
Vedansh Kumar, Bhavpreet Singh, Umrah Zargar and Arvind Kumar, "Embedded systems and NLP Language Translation using Raspberry Pi", In: Raju Pal and Praveen Kumar Shukla (eds), SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2022, pp. 503-510. https://doi.org/10.52458/978-93-91842-08-6-48