Osteoarthritis is a chronic, progressive condition characterized by the deterioration of joint cartilage, leading to pain and stiffness, particularly in weight-bearing joints. Knee osteoarthritis is widespread among older individuals, and does not have a single medication that is universally acknowledged as effective for its treatment. With a combination of non-pharmacological and pharmacological methods, the earliest treatments in its management aim to alleviate symptoms. It is more common in women over 60 years old and is influenced by several factors, including age, gender, obesity, and muscular weakness. When acute pain first appears, diagnosis is still difficult to make and often happens later. Even though it is expensive and dangerous, total knee arthroplasty (TKA) is a popular therapy for extreme conditions. The treatment of knee OA is only partially effective using the existing clinical criteria. Early identification and treatment are essential to mitigate morbidity and surgical costs. The study's findings indicate that the developed method effectively synchronizes a sensor system using IMU sensor data to analyze individual gait patterns. By placing sensors on the femur and tibia, Roll, Pitch, and Yaw values were obtained. Alerts are programmed to signal deviations beyond the healthy thresholding range. The study suggests the potential of IMU sensors in predicting knee flexion angles during daily activities.