Sistema de recomendación para adopción de animales “PetMatch”

Abstract

This technical project develops an animal adoption referral system to optimize and improve the matching process between pets and adopters. Currently, many animal rescue foundations face significant challenges in connecting rescued animals with suitable adopters, often resulting in unsuccessful returns or adoptions. To counter this issue, a machine learning-based system has been designed and implemented that analyzes animal characteristics and adopter preferences to generate personalized recommendations. The system consists of a web platform developed in the Laravel and React frameworks, while the recommendation model is implemented in Python. In addition, the system includes three user profiles: administrators, foundations and adopters. Foundations can register and manage the information of available pets, while adopters can access the recommendation model to find their ideal companion.