We present KisanSeva, a graphical user interface which can predict the prices of the major crops namely: RICE and WHEAT of all the states of the Republic of India.
Since food grains are the most important part of the diet of any household, all efforts must be made to ensure stability of prices and adequate competition, which will ensure prosperity for farmers, consumers and the national economy at large.
Our project aims to rigorously study the factors affecting food grain prices in various parts of the country and to predict with reasonable accuracy the future course which the aforementioned prices will take, and which can be used as a tool by farmers, consumers and policymakers.
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Being a language with a simple syntax, rich libraries and many user-friendly platforms, Python was employed by Mors Manipulus for data science.
JavaScript is an astonishingly versatile and rich programming language, with the additional benefit of being object oriented and the language of the web.
No website is can function without extensive usage of the Hyper Text Markup Language(HTML) and Cascading Style Sheets(CSS) and never will.
Our project takes in monthly data for the last 5 years for 15 parameters affecting a state's rice & wheat prices:
CONTRIBUTIONS:
Dataset Building
Data Visualization
Data Science
CONTRIBUTIONS:
Dataset Building
Website Hosting
Data Science
We would love to hear your comments and suggestions as they make us better, smarter and more aware and help us improve.