Gait analysis, a crucial area in biomechanics research, involves studying the intricate mechanics of human walking. With the increasing interest in leveraging Inertial Measurement Unit (IMU)-based systems for gait analysis, specifically those employing gyroscopes, this project aims to develop a comprehensive framework to capture and analyze gait parameters. To achieve this, the MPU6050 IMU sensor, integrating both accelerometer and gyroscope sensors, is utilized to precisely measure angles and identify distinct phases within each gait cycle during walking. The sensor is strategically positioned on the shank of one leg to collect essential gait signals, allowing for accurate data acquisition. The experimental procedure entails instructing the patient to walk a predefined distance while the IMU sensor captures the corresponding gait data. The collected database encompasses a wealth of gait information essential for further investigation. The proposed framework provides a cost-effective and portable solution for gait analysis, making it suitable for both clinical and research settings. By harnessing the capabilities of IMU-based systems and integrating gyroscopes, this project contributes to the advancement of objective and quantitative gait assessment methodologies. Ultimately, this research has the potential to enhance clinical interventions, improve rehabilitation strategies, and promote a better understanding of human locomotion dynamics. Gait analysis, a crucial area in biomechanics research, involves studying the intricate mechanics of human walking. With the increasing interest in leveraging Inertial Measurement Unit (IMU)-based systems for gait analysis, specifically those employing gyroscopes, this project aims to develop a comprehensive framework to capture and analyze gait parameters. These extracted parameters serve as essential indicators for evaluating gait abnormalities, monitoring progress during rehabilitation, and aiding clinical decision-making.