Artificial Intelligence Functions in Aquaponics Website

Description
This thesis presents the design, development, and deployment of an AI-powered chatbot made for Abundant Harvest Aquaponics, an agriculture organization focused on sustainable eco-friendly food production and community engagement. The primary goal of this project was to modernize the organization's

This thesis presents the design, development, and deployment of an AI-powered chatbot made for Abundant Harvest Aquaponics, an agriculture organization focused on sustainable eco-friendly food production and community engagement. The primary goal of this project was to modernize the organization's customer interaction capabilities through an intelligent, conversational interface that streamlines communication, enhances user experience, and supports operations such as donations, CSA (Community Supported Agriculture) subscriptions, and educational outreach. Built using natural language processing (NLP) technologies and integrated into the renovated organization’s existing website infrastructure, the chatbot was trained to handle frequently asked questions, guide users through various services, and provide real-time information about aquaponics systems. The implementation process involved iterative design, feedback-based refinement, and aligning with the organization’s mission and audience, which includes health-conscious consumers and donors aged 24–60. The chatbot has been successfully deployed, but metrics have not yet been collected. Early observations suggest it is functioning as intended, with the potential to improve user engagement, reduce the inquiry load on staff, and enhance overall customer satisfaction as intended. The project is a major stepping-stone for Abundant Harvest Aquaponics. It reflects how AI can help benefit small and medium-sized enterprises and support sustainable, community-oriented agriculture.

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Barrett Honors College theses and creative projects are restricted to ASU community members.

Details

Contributors
Date Created
2025-05
Additional Information
English
Series
  • Academic Year 2024-2025
Extent
  • 20 pages
Open Access
Peer-reviewed