Alexander Xu¹ and Jonathan Sahagun², ¹Mt. SAC Early College Academy, USA, ²California State Polytechnic University, USA

This paper addresses the challenge of designing an adaptive egg-cracking device suitable for various egg sizes and shell strengths, especially for users with mobility issues [1]. The proposed solution integrates a mechanical egg cracker controlled via a Bluetooth-connected mobile application, utilizing adjustable cracking settings and machine learning algorithms for optimization [2]. The system is comprised of three main components: the hardware cracker, Bluetooth communication, and the mobile app interface [3]. Key challenges included variability in egg characteristics, ensuring reliable Bluetooth connectivity, and developing a suitable dataset for machine learning. Through a series of experiments, we evaluated the device's performance and connectivity, revealing areas for improvement and showcasing its potential for versatility. The project's findings suggest that this egg-cracking solution offers a more accessible and efficient alternative to traditional methods, making it a valuable tool for those seeking a reliable kitchen aid.

Bluetooth, Cooking aid, Aid for individuals with mobility issues, Egg cracker