Rapid Mobile App Development for Generative AI Agents on MIT App Inventor

TL;DR

This paper introduces a methodology for rapidly developing generative AI-powered mobile applications using MIT App Inventor, demonstrated through three diverse apps that integrate OpenAI APIs to address social and community challenges.

Contribution

It presents a novel approach for quick AI app development on MIT App Inventor, including practical integration of generative AI features and insights from real-world application development.

Findings

Successfully developed three AI-enabled mobile apps

Demonstrated integration of OpenAI APIs into MIT App Inventor

Provided practical insights for overcoming integration challenges

Abstract

The evolution of Artificial Intelligence (AI) stands as a pivotal force shaping our society, finding applications across diverse domains such as education, sustainability, and safety. Leveraging AI within mobile applications makes it easily accessible to the public, catalyzing its transformative potential. In this paper, we present a methodology for the rapid development of AI agent applications using the development platform provided by MIT App Inventor. To demonstrate its efficacy, we share the development journey of three distinct mobile applications: SynchroNet for fostering sustainable communities; ProductiviTeams for addressing procrastination; and iHELP for enhancing community safety. All three applications seamlessly integrate a spectrum of generative AI features, leveraging OpenAI APIs. Furthermore, we offer insights gleaned from overcoming challenges in integrating diverse tools and AI functionalities, aiming to inspire young developers to join our efforts in building practical AI agent applications.