It is challenging to detect knee injuries precisely. Many criteria include edema, patient guarding, physician experience, and the manual evaluation degree of the wound. These elements may contribute to an inadequate or incorrect diagnosis, which may lead to poor care and healing. Athletes frequently sustain knee injuries, which can happen during daily activities and frequently result in tears to one or more of the four ligaments. A doctor performs several routine tests while manually manipulating the knee for assessment. Despite being regarded as best practices, these manual tests are known to have some errors, with up to 1 in 8 patients receiving the incorrect diagnosis as a result of testing flaws. Where available, MRI imaging is used to confirm the diagnosis; however, due to time and financial constraints, this is not the case for all individuals. Creating and testing a wearable diagnostic system housed in a knee sleeve was the aim of this research. To derive quantitative measurements toward a diagnosis, integrated sensors were utilized to track movement and electromyographic activity. A replica of the lower leg and knee that had been manufactured was used to test the movement and displacement monitoring subsystems. According to preliminary findings, the range of motion tests produced reliable readings with an average percentage error of 1%, while the laxity test produced values with an average percent error of 3% (0.1 to 0.2 mm). A doctor could utilize the measurement produced by this technology to inform their decision-making.