Postural balance is maintained through the coordinated activity of visual, vestibular, and proprioceptive systems under the control of the central nervous system. Deficits in this system, whether due to neurological or musculoskeletal disorders, often lead to instability, functional decline, and reduced quality of life. To address these challenges, this study introduces a sensor-based rehabilitation platform designed to assess balance and encourage recovery through interactive feedback. The system combines a pressure-sensitive platform equipped with four load cells and an Arduino microcontroller with a Unity-based software application. The hardware captures changes in plantar pressure, while the software translates these variations into adaptive, game-like exercises that promote both motor control and cognitive engagement. Three rehabilitation scenarios were implemented, each allowing progressive adjustment of difficulty according to the user’s functional ability. Testing confirmed that the platform effectively detected asymmetrical weight distributions and provided consistent real-time responses during training. The approach encourages user participation through visual and auditory feedback while maintaining precise monitoring of balance parameters. Given its open and modular design, the prototype can be easily adapted or expanded to accommodate supplementary sensors or wireless communication for remote monitoring. Overall, the proposed system represents a technically feasible and engaging framework for postural rehabilitation, contributing to the development of intelligent and personalized rehabilitation technologies that integrate motor learning with interactive feedback.