Abstract: The creation of an automated pet feeder is the subject of this report. Tensor Flow Lite Convolutional Neural Networks, a specialized software, is used in conjunction with a laptop, an Arduino, and a camera to identify the animal. The meal is dispensed with assistance from a motor. By taking care of the meals for the pets, the intention is to make life easier for pet owners. The device is intelligent enough to provide the appropriate amount of food for each pet based on their individual needs. Additionally, it can identify when a pet appears ill during feeding and notify the owner. In other words, it's like giving your pet a personal chef with an integrated health checker.

Keywords: Automated pet feeder, Tensor flow, Neural networks, Arduino, Motor.

| DOI: 10.17148/IARJSET.2024.11621