PAWrfect Match: A Web-Based Animal Adoption and Rescue System that uses Content-Based Filtering Algorithm for Recommending Potential Adoptees

Abstract

The study involves an automated system where pets who are adoptable are advertised making it easier for potential adoptees to find the pet for them. Due to the rise of abandonment of pets in recent times, their need for a new home is also rising. The study focuses on streamlining the advertisement of adoptable pets from different shelters or rescuers to promote adoption instead of buying pets. Users will be recommended pets based on their interest from the pre-survey in the sign-up page, this will make it easier for users to find the suitable pet for them. It also includes a notification feature to notify the users if there is a new adoptable pet with characteristics that align with their interests. Users can also file a request for rescue that will be reviewed by the shelter themselves. There is also a forum tab where users and professionals are able to add a new post, and this can be filtered based on their category; the post of the professionals always appears on top in order for users to see the most relevant posts first. The system proved that it was able to successfully serve as an advertising platform for shelters and their stray cats and dogs. The forum section is also a good addition as it serves as a platform for adopters and pet-owners to seek help and tips from fellow pet owners and professionals.