Krishi Sahyog: Image based Cognitive E-Learning
Kunj Karia1, Neha Chanchlani2, Karan Kashyap3, Mona Deshmukh3
1Kunj Karia, Computer Science, Vivekanand Education Society’s Institute of Technology, Mumbai, India.
2Neha Chanchlani, Computer Science, Vivekanand Education Society’s Institute of Technology, Mumbai, India.
3Karan Kashyap, Computer Science, Vivekanand Education Society’s Institute of Technology, Mumbai, India.
4Mona Deshmukh, Computer Science, Vivekanand Education Society’s Institute of Technology, Mumbai, India.
Manuscript received on May 22, 2014. | Revised Manuscript received on June 05, 2014. | Manuscript published on June 30, 2014. | PP: 177-178 | Volume-3, Issue-5, June 2014. | Retrieval Number: E3186063514/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Krishi Sahyog is a web-based solution developed to provide basic education about farming techniques and usage of tools. The uniqueness of this project lies in the fact that it takes into account the present day farming scenario. Krishi Sahyog will help the farmers to understand various farming techniques and will acquaint them with the latest tools and technologies by means of video tutorials in regional languages. This Human Computer Interaction project, an e-learning website, is to help them get a hang of the latest technologies and the latest tools albeit not having any basic technical education, which will also make them aware of the market rate, owing to which they will be aware of the current rate of their product as compared to current market scenario. Also, the weather forecast feature will help them plan their crop accordingly.
Keywords: Human Computer Interaction, Image based e-learning, Video tutorials, Optimization, Regional languages.