AgroHive
Dr.Rathina Kumar N1, Dr.P.Sumathi2, Sree Baarath B 3,
Tharaneetharan M 4, Prince Abishek A 5, Nishannth R 6
1Assistant Professor , Artificial Intelligence & Data Science & SNS College of Engineering
2Head of the Department , Artificial Intelligence & Data Science & SNS College of Engineering
3 4th Year , Artificial Intelligence & Data Science & SNS College of Engineering
4 4th Year , Artificial Intelligence & Data Science & SNS College of Engineering
5 4th Year , Artificial Intelligence & Data Science & SNS College of Engineering
6 4th Year , Artificial Intelligence & Data Science & SNS College of Engineering
ABSTRACT - Purchasing agricultural produce through traditional markets often presents challenges for farmers and customers. Farmers face reduced profits due to intermediary commissions, while customers encounter inflated prices and limited access to fresh, quality goods. The lack of direct trade platforms leads to uncertainty about produce quality, unreliable delivery, and concerns over transaction security, resulting in hesitation and dissatisfaction. Additionally, insufficient market trend insights and inefficiencies in supply chains further diminish trust and convenience in agricultural trade. Existing platforms provide basic e-commerce functionalities, such as produce listings, but often lack personalized trade recommendations or robust accessibility for rural users. Security measures are frequently inadequate, increasing risks of fraud, while limited focus on real-time data and logistics reliability hampers efficiency. These gaps highlight the need for a more innovative, farmer-centric solution to enhance trade transparency and accessibility. AgroHive addresses these challenges by integrating advanced AI and cloud-based technologies to deliver a personalized, secure, and efficient agricultural marketplace. Built on Android with Kotlin, Node.js, MongoDB Atlas, and Firebase, AgroHive eliminates intermediaries, enabling farmers to earn fair profits and customers to access affordable, fresh produce. A GenAI-powered chatbot analyzes user preferences and market trends to provide tailored trade recommendations, such as high-demand crops or budget-friendly deals. Multi-factor authentication via Firebase and AI-driven fraud detection ensures secure transactions. Real-time tracking and streamlined logistics improve delivery reliability, while offline caching and multilingual interfaces enhance accessibility for rural users. AgroHive also promotes sustainability by encouraging eco-friendly farming practices. This comprehensive approach fosters a trustworthy, inclusive, and environmentally conscious trade experience for farmers, customers, and marketers.
