The Muscular Prediction Project is a concept aimed at developing a device and software system for the early detection and identification of musculoskeletal disorders (MSDs). Using both thermal imaging and electrical signal data the device would identify muscular pain. By using Machine Learning algorithms, the system will then analyze both data sources to create predictive models, identifying potential pain points before the onset of MSDs. This approach facilitates earlier interventions, which could reduce the risk of long-term injury and improve patient health. The project is a collaboration between James Pineda, handling device development and Jerome Pineda on software development. Jerome Pineda is a member of the team.