FarmO’Cart: Multilingual Voice-Assisted Machine Learning Based real-time price Prediction to Enhance Agricultural Income

Aastha Patel, Lina Khedikar, Manasi Lokakshi, Sarika Khandelwal
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Abstract

The objective of this work is to propose the use of FarmO’Cart, a cutting-edge online marketing platform, as an effective solution to modernize conventional agricultural trading practices by facilitating an electronic exchange that links farmers, retailers, and consumers. The platform provides an option to directly sell or buy agricultural products without the involvement of any middlemen, thus allowing farmers to benefit from their crop production by generating 15-20% returns and reducing the debt ratio among farmers and their suicide rate. This proposed solution, FarmO'Cart, integrates a range of innovative features designed like a multilingual voice assistant, powered by advanced ALAN AI (Actionable Artificial Intelligence) technology, enabling farmers to interact with the platform in their native language and revolutionize traditional agricultural trading practices. Farmers can put their queries or ask for assistance by simply speaking out in their native languages. The platform is also accessible in 130+ languages through the integration of the Google Translate API (Application Programming Interface), ensuring a truly global reach. These features make the proposed solution more usable for the farmer community who may not be able to understand international languages or English in general. The Bcrypt’s hashing algorithm was leveraged to provide enhanced security for user data and passwords and the incorporation of salted hashing and a variable cost factor adds robustness to thwart brute-force attacks and password-cracking attempts. By employing these cryptographic techniques, the platform ensures effective protection of sensitive information. The FarmO’Cart also offers a community platform for farmers to connect and collaborate with Agri-experts & fellow farmers to improve productivity and profitability.
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FarmO 'Cart:基于多语言语音辅助机器学习的实时价格预测,以提高农业收入
这项工作的目的是建议使用FarmO 'Cart这一尖端的在线营销平台,通过促进农民、零售商和消费者之间的电子交换,将其作为传统农业贸易实践现代化的有效解决方案。该平台提供了一个直接出售或购买农产品的选择,没有任何中间商的参与,从而使农民能够从他们的作物生产中受益,产生15-20%的回报,并降低了农民的负债率和自杀率。这个被提议的解决方案,FarmO'Cart,集成了一系列创新的功能,设计像一个多语言语音助手,由先进的ALAN AI(可操作的人工智能)技术驱动,使农民能够用他们的母语与平台互动,并彻底改变传统的农业贸易实践。农民可以简单地用他们的母语说出他们的疑问或寻求帮助。通过集成谷歌翻译API(应用程序编程接口),该平台还可以使用130多种语言,确保真正的全球影响力。这些特性使所提出的解决方案更适合不懂国际语言或一般不懂英语的农民社区。Bcrypt的哈希算法被用来为用户数据和密码提供增强的安全性,而盐哈希和可变成本因素的结合增加了鲁棒性,以阻止暴力攻击和密码破解企图。通过采用这些加密技术,该平台确保了敏感信息的有效保护。FarmO 'Cart还为农民提供了一个社区平台,让他们与农业专家和其他农民联系和合作,以提高生产力和盈利能力。
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