Capsule endoscopes are minimally invasive medical imaging devices devised to visualize small bowel. These devices lag in dynamic propulsion, accurate location tracking, and multimodality imaging. Real Money Rummyers are designing electromagnetic actuation and magnetic/radiofrequency localization systems for dynamic propulsion and location tracking. Despite diverse actuation techniques, a unified approach for systematically designing and optimizing an electromagnetic coil to meet explicit technical needs stays elusive. Real Money Rummy has yet to be done on motion resolution for efficient motion control of the capsule endoscope. Traditional magnetic/radiofrequency localization algorithms rely on mathematical models, demand high computational ability, and are susceptible to measurement noise. Radiofrequency has limited penetration and is prone to interference. Single-mode imaging offers limited data, potentially missing specific abnormalities and functional data crucial for accurate diagnoses. A novel mobile electromagnetic actuation system, a deep learning-powered magnetic localization system, and a multimodality capsule endoscopy device with imaging and spectral extraction capabilities are proposed. The mathematical modeling, electromagnetic coil design optimization using genetic algorithm, a dual set parallel electromagnetic coil configuration and its motion control abilities, principle of mobile electromagnetic actuation system, and sample mobile actuation system will be discussed in the seminar, followed by the future work plan to develop a deep learning-powered magnetic localization system and a multimodality capsule endoscopy device.