If you are a pet lover like me or a researcher involved in building innovative pet solutions using AI/ML, this post is for you. The pet care industry is increasingly leveraging AI and machine learning to enhance pets’ health, well-being, and overall quality of life. This reference table could guide practitioners and developers in the field, outlining various problem spaces within pet care, real-world examples, suitable machine-learning techniques, relevant Python functions and libraries, and pre-built models available for use without worrying about building these models from the ground up.
Though not exhaustive, this reference table should provide a starting point for developers and researchers working on AI/ML solutions in the pet care industry. Mapping real-world problems to specific machine learning techniques and suggesting relevant tools and pre-built models aims to streamline the thought process and development process and promote innovative solutions that enhance pet care.
More than happy to discuss and help like-minded innovators with their AI solutions for pets.
Best of luck!
