Results Analysis of Vibrant Veggies Mart

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G. G. Sayyad
Bhujbal Neha Raju
Gawand Rutuja Rohidas
Pathan Saniya Jahangir
Wayphalkar Pranita Jivnath

Abstract

As we all knew that Farmers are the backbone of our country and without them, we can’t complete a day. Well, this idea is completely dedicated to farmers and helps them in generating good profitable revenue by using our platform. This is an online eCommerce platform that enables a farmer to buy or sell anything related to the agriculture. The Agriculture E-commerce System is a web-based platform designed to help farmers sell vegetables and fruits directly to consumers. It eliminates middlemen, ensuring better profits for farmers while providing fresh produce to buyers.


        The traditional agricultural supply chain involves multiple intermediaries, leading to reduced profits for farmers and increased costs for consumers. This paper proposes an Agriculture E-Commerce System that enables direct transactions between farmers and consumers, eliminating middlemen and ensuring fair pricing. The system integrates AI-based price prediction using the Random Forest Algorithm, secure payment processing, and fraud detection mechanisms to enhance trust and efficiency. Additionally, demand forecasting helps farmers plan production based on market trends. Experimental results show improvements in order processing speed, price prediction accuracy, and transaction security compared to existing systems. The proposed platform enhances profitability for farmers, provides consumers with fresh and affordable produce, and improves the overall efficiency of agricultural trade. Experimental results demonstrate significant improvements over traditional agricultural trading systems.

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How to Cite
Sayyad, G. G., Raju, B. N., Rohidas, G. R., Jahangir, P. S., & Jivnath, W. P. (2025). Results Analysis of Vibrant Veggies Mart. International Journal on Advanced Computer Engineering and Communication Technology, 14(1), 384–390. Retrieved from https://journals.mriindia.com/index.php/ijacect/article/view/537
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Articles

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