Informative and Deep Learning System to Help and Save Stray Animals

Nowadays, stray animals have become a common thing around the world, and their population is rising non-stop every year. Stray animals could actually bring problems to people, for example, public health issues, socioeconomic impacts, traffic accidents, and many others. In order to solve such problems, people have to take action on saving and helping the stray animals out there. Therefore, a proposed system on creating mobile applications not only to save and help the stray animals but also to spread awareness and share information about the stray animals. Qualitative research and data collection methods are applied in this study, and target users will be focusing on pet owners and animal welfare organizations. Both snowball sampling and stratified sampling will also be applied in this study. For future recommendation of the proposed system, it would be creating a mobile application that provides information about stray animals and helps to save them.