Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 15, September 2022

Generative Approach to the Automation of Artificial Intelligence Applications

  Authors

Calvin Huang1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA

  Abstract

In order to use the full power of artificial intelligence, many are required to navigate through a complex process that involves reading and understanding code. Understanding this process can be especially intimidating to domain experts who wish to use A.I to develop a project, but have no former experience with programming. This paper develops an application to allow for any domain expert (or normal person) to gather data, assign labels, and train models automatically without the use of software to do so. Our application, through a server, allows the user to send HTTP API requests to train models, upload images to the database, add models/labels, and access models/labels.

  Keywords

Tensorflow Lite, Flask, Flutter, Google Colab.