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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 The already existing applications provides outdated information and have lot of security risks.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 |
Appears in Collections: | Articles |
Files in This Item:
File | Description | Size | Format | |
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Kisan Soch – A Mobile App for Farmers.pdf | 674.61 kB | Adobe PDF | View/Open |
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