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A Web-Based Ai Assistant Application Using Python And Javascript, Viet Le, Tej Bahadur, Jainee Shah, Roushan Ara Dec 2020

A Web-Based Ai Assistant Application Using Python And Javascript, Viet Le, Tej Bahadur, Jainee Shah, Roushan Ara

School of Professional Studies

Our research is mainly based on a chatbot which is powered by Artificial Intelligence. Nowadays, Artificial Intelligence assistants such as Apple’s Siri, Google’s Now and Amazon’s Alexa are currently fast-growing and widely integrated with many smart devices. These assistants are built with the primary purpose of being personal assistants for every individual user in certain contexts. In this research, we would highlight the development process of the chatbots, features, problems, case studies and limitations.

This research delivers the information, helps developers to build answer bots and integrate chatbots with business accounts. The aim is to assist users and allow transactions …


Trends In Advertising: How The Rise In Artificial Intelligence May Influence The Field Of Content Strategy, Joel Eaton May 2020

Trends In Advertising: How The Rise In Artificial Intelligence May Influence The Field Of Content Strategy, Joel Eaton

Electronic Theses and Dissertations

Whereas prior research on artificial intelligence has dealt with automation in fields like medicine, engineering, and computer science, this research study seeks to answer the question, “To what extent can AI be creative in the context of content strategy?” To answer this, this study employs content analysis using 16 online news and blog articles from primarily marketing organizations to identify and explain key variables surrounding the relationship between the computer and the creative professional. This study has found that the core belief that AI will play the future role of creative assistant in the context of content strategy is shared …


Analysis Of True Risk Lab’S Price Prediction Algorithm In Relation To Market Results, Chris F. Hua May 2020

Analysis Of True Risk Lab’S Price Prediction Algorithm In Relation To Market Results, Chris F. Hua

Honors Theses

The concept of beating the stock market is one of the main goals of financial investors and analysts. However, seasoned analysts and investors cannot perfectly predict the movements within the stock market. Machine learning (ML) is one prediction method that has intrigued the financial industry as a means of accurately predicting the market. Though the current prediction algorithms do not grasp every change in the stock markets, the models do provide a means of looking towards stock trends as a means to hedge an investor's or fund's portfolio against market declines by looking at the artificial intelligence (AI) results. This …