International Journal of Innovative Research in Engineering and Management
Year: 2025, Volume: 12, Issue: 6
First page : ( 23) Last page : ( 33)
Online ISSN : 2350-0557.
Prasad S R
DOI: 10.55524/ijirem.2025.12.6.5 |
DOI URL: https://doi.org/10.55524/ijirem.2025.12.6.5
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
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Prasad S R , Ramya, Sahana, Sharadhi VP, Nisarga NS5
Digital transformation is changing the game, especially in places where people face tough, everyday problems—like rural communities. Out there, farmers still struggle with things like messy labor management, not knowing about the latest farming methods, or just guessing which crops to plant. That’s where the Unified Smart Village Application System (USVAS) steps in. This is a digital platform built around the needs of farmers, pulling together several smart tools to help boost rural economies. The Landlord–Labour Hub is basically a job board and management system in one. Farmers can post what kind of help they need, and workers can sign up for jobs. The system handles all the basics—adding, editing, or deleting info, keeping accounts secure, handling lots of users at once, and even letting farmers rate workers after a job. Then there’s the Soil Fertility Analysis and Crop Recommendation System. Here, farmers enter details about their soil, and machine learning kicks in. The system digs into the data and shows farmers exactly which crops will do best in their fields. USVAS isn’t just about numbers, though.The platform includes an information center filled with practical farming advice, updates on current government programs, and clear details about available subsidies. We put everything under one roof—a dashboard where farmers can jump between features without getting lost. Stuck on something? There's help available right when you need it. For the build, we went with React.js and Node.js on the front end. Flask takes care of server-side operations, and Python handles all the number-crunching for soil analysis and crop suggestions. What USVAS does is give rural communities a tool they can actually rely on. It cuts down the time spent hunting for information, takes some of the guesswork out of farming choices, and hopefully puts a bit more money in people's pockets. We kept things simple on purpose—anyone should be able to pick it up and start using it without needing tech expertise.
Assistant Professor, Computer Science and Engineering, SDM Institute of Technology, Ujire, Ujire, India
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