Kakaninai: developing mobile application utilizing yolov11 for classification of filipino kakanin/ Micko James D. Arellano, Tristan Jay H. Fernandez, Hendrickson R. Nifas, and Ramwell P. Tupas.--

Bachelor's thesis

College of Science.--
Bachelor of science in computer science: Technological University of the Philippines,
2025.

Includes bibliographic references and index.

The study aims to address the cultural and educational gap regarding the
identification and appreciation of traditional Filipino rice cakes, known as kakanin. Many
Filipinos, especially younger generations, struggle to distinguish between the various
types of kakanin due to regional variations and a lack of historical knowledge. To
mitigate this, a mobile application is being developed that leverages advanced computer
vision technology to identify different kakanin types from user-uploaded images
accurately. The application provides comprehensive information on each kakanin,
including its origins, ingredients, recipes, texture, taste, and the specific provinces known
for their unique versions. By promoting regional pride and awareness, the app aims to
foster a deeper appreciation for Filipino culinary heritage. This study highlights the
integration of state-of-the-art artificial intelligence algorithms to create an educational
tool that not only preserves but also promotes the rich cultural traditions of the
Philippines.