Please use this identifier to cite or link to this item: http://13.232.72.61:8080/jspui/handle/123456789/5275
Title: Kisan Soch – A Mobile App for Farmers
Authors: Joshi, Nilesh Chandra
Chayapathi, A. R.
Nair, Anoop A.
Ajay, S.
Mohammed, Suhail S.
Keywords: Neural Machine Translation
React Native
Multilingual Mobile Application
Issue Date: Jul-2021
Publisher: IJCRT
Citation: Joshi, Nilesh Chandra., Chayapathi, A. R., Nair, Anoop A., Ajay, S., & Mohammed, Suhail S. (2021). Kisan Soch – A Mobile App for Farmers. International Journal Creative Research Thoughts, 9(7), 345-351.
Abstract: Farming is the backbone of India. Agriculture in India is major source of income for a majority of the population and can never be underrated. Government Schemes are intended to help all farmers across the country. We aim to develop an android based mobile application which provides information regarding the various Government Schemes. The already existing applications provides outdated information and have lot of security risks. Moreover, these apps provide information only in one language (either only English, or Hindi). In this paper, we made a universal multilingual mobile application which any farmer can use conveniently irrespective of their native language it will provide multiple language support. Our system is implemented using Neural Machine Translation (NMT) which uses an Encoder-Decoder Architecture. The Encoder takes the sequence of sentences and feeds it to the Neural Network, then the Decoder generates the decoded output (translated sentence)
Description: use only for the academic purpose
URI: http://13.232.72.61:8080/jspui/handle/123456789/5275
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