Agri Reach Ai: Intelligent Trading Platform For Farmers In Native Language

• Author(s):

  M Akshaya | S Gayathri | R Jayasri | G Mahalakshmi | Mrs. J. B. Pradeepa

• Keywords:

  Digital Agriculture, Voice Input, Chatbot, Goods Detection, Transaction Tracking, AI Marketplace

• Abstract:

  Digital Platform Of Combined Agriculture Trading: E-NAM, E-RaKAM Has Make Online Selling And Bidding Possible For Agriculture Products. But Most Farmers Find It Hard To Operate These Platforms Because Of The Complex Interfaces, Little Instructions And Less Marketing Experience. In This Paper, We Present Agri Reach AI, An Intelligent Agricultural Trading Platform That Combines Voice Input, Chatbot Assistance With AI-based Goods Detection And Transaction Tracking For Easier Interaction To Farmers In The Digital Marketplace. The Web System Provides A Simple Interface For The Farmers To Submit Their Product Details, Identify Products, Place Bids And Track Transaction History Transparently. Moreover, The Proposed System Improves Online Agricultural Trading Usability, As Well As The Trust And Participation Of Farmers By Integrating Artificial Intelligence Into Native Language Usage Interaction.

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Other Details

• Paper id:

  IJSARTV12I3104723

• Published in:

  Volume: 12 Issue: 3 March 2026

• Publication Date:

  2026-03-15

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