Malaria, although preventable, continues to rise globally despite many health interventions implemented by organizations. Mosquito bites serve as a significant vector for malaria transmission. The research introduces a real-time monitoring system that uses multimodal sensors and deep learning algorithms to assess skin physiological data post-mosquito bites, enhancing pressure application and temperature regulation via meticulous design and sensory threshold quantification assessments. The product design employs ergonomic concepts and biomimetic processes to emulate the human immunological stress response, while integrating emotive design principles to enhance user experience.