Chengyu Liu1 and Julian Avellaneda2, 1USA, 2California State Polytechnic University, USA
This research paper introduces the mobile application called "Allergy App," designed to predict and manage pollen allergies using Artificial Intelligence (AI) and Data Science [1]. Allergies are widespread, often leading to serious health issues, such as asthma. The Allergy App tries to provide users with personalized risk assessments based on environmental and personal data, including location, age, smoking habits, and asthma history. The app's three key components include AI risk prediction, user authentication, and medical advice. There were several challenges during the development process and with the server [2]. The paper also shows experiments to assess the AI model's accuracy and address user input validation issues. While acknowledging some limitations, especially with text input formats, the Allergy App is a good tool for people to manage their allergies and reduce the risk of reactions, ultimately improving their quality of life.
Flutter, AI, Machine Learning, Allergies
