I carried out this research in “Capston Design” for my graduation
We developed an AIoT application that provides feed recommendations and automatic feeding functions suitable for dog dietary allergies.
Our Team name is PAWSITIVE, and our project name is Doggy Dine
This project was developed for the convenience of dog companions. Dogs have various dietary allergy factors, and the selection of feed accordingly is important for the long-term health of dogs. However, the only way to identify a dog's allergy is to undergo an expensive diagnosis or to check the reaction directly by the owner supplying various feeds. However, this method is cumbersome because it requires knowing and comparing the main ingredients of the feed being supplied. Therefore, we would like to solve this inconvenience by providing the main ingredients and nutrients of feed, and by providing the ability to recommend or compare feed suitable for dogs. In addition, in connection with AIoT, the quality of life of the companion can be improved overall by automatically recognizing the dog in front of the feed provider and providing the appropriate amount of feed for the dog. In addition, the user's convenience for the app was considered by providing various service items for the user's convenience.
Here, I was in charge of developing overall UI/UX, deep learning, chatbot using Generative AI, notification function, communication with hardware, diary function, feed amount calculation, salary function, and GUI for Raspberry Pi.
1️⃣Food search and recommendation function according to dietary allergies of pets
2️⃣ Feed comparison and detailed information provision function
3️⃣ Automatic calculation of feed volume based on the level of activity and individual constitution of pets
4️⃣ A companion animal recognition and judgment function using CNN-based deep learning and a companion animal face recognition algorithm
5️⃣ Automatic feed feeding function through communication with Raspberry Pi and Android
6️⃣ Chatbot function using generative AI