Analysis and Design of Diagnosing Pet Diseases Remotely by Fusing Rule-Based Inference

Abstract

Pets serve as significant companions for their owners, who may give them food, housing, and medical attention. As pets can readily contract an illness unknowingly, their health should be a worry. Yet, several factors prevent pet owners from taking their animals to the vet as soon as they become ill, including the high expense of veterinary treatment, the lack of information among pet owners regarding pet health care, and the scarcity of veterinary facilities in rural regions. Using the symptoms that the pet is displaying; a smartphone application was created to diagnose pet diseases. Based on the symptoms that the pet is experiencing, the rule-based inference method is utilised to identify potential diseases. The application not only assists pet owners in quickly diagnosing a pet disease, but it also offers important treatment information. Before developing the actual application, system requirement analyses, system design diagrams, and wireframes are also created. The report also includes UML diagrams such as the use-case diagram, sequence diagram, and activity diagram. To make sure the programme is working properly and that all defects and errors have been repaired, a test strategy has been employed. To gauge the respondents' level of acceptability of an application feature, user acceptance testing is carried out. To enhance the quality of the application going forward, this report details the project's accomplishments, the application's limits, and the next work. The goal of creating the pet disease diagnosis mobile application is to raise awareness among pet owners of their pets' ailments and related concerns with pet health care.