Implementation of AI into Human Activity

Session Number

Project ID: CMPS 01

Advisor(s)

Dr. Phadmakar Patankar; Illinois Mathematics and Science Academy

Discipline

Computer Science

Start Date

19-4-2023 10:05 AM

End Date

19-4-2023 10:20 AM

Abstract

With AI’s endless capabilities, humans have found numerous applications for AI to assist in both complex and simple tasks to improve efficiency and productivity. After extensive research on AI and its uses, we created our bot using Google’s Dialogflow CX Console. The purpose of this bot was to assist users in ordering food. This bot would be able to greet and direct the user around the options for ordering food. The bot uses natural language processing techniques to understand and interpret user input to provide accurate responses to the user and create precise food orders. Diagflow CX capabilities allowed the bot to integrate with backend systems and APIs to enable automated order placement and payment processing. The bot was tested numerous times, and as users placed more orders, it gathered data and insights to improve its understanding of the user’s preferences and behavior. After carefully evaluating the AI’s ability to assist people when coming to certain activities, we have deemed the bot competent to aid human activities. Overall, our results demonstrate the potential of AI to support and enhance human activities in various domains.

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Apr 19th, 10:05 AM Apr 19th, 10:20 AM

Implementation of AI into Human Activity

With AI’s endless capabilities, humans have found numerous applications for AI to assist in both complex and simple tasks to improve efficiency and productivity. After extensive research on AI and its uses, we created our bot using Google’s Dialogflow CX Console. The purpose of this bot was to assist users in ordering food. This bot would be able to greet and direct the user around the options for ordering food. The bot uses natural language processing techniques to understand and interpret user input to provide accurate responses to the user and create precise food orders. Diagflow CX capabilities allowed the bot to integrate with backend systems and APIs to enable automated order placement and payment processing. The bot was tested numerous times, and as users placed more orders, it gathered data and insights to improve its understanding of the user’s preferences and behavior. After carefully evaluating the AI’s ability to assist people when coming to certain activities, we have deemed the bot competent to aid human activities. Overall, our results demonstrate the potential of AI to support and enhance human activities in various domains.