Knee pain and complications are one of the most common anomalies that affect people of all ages. It requires the patients to undergo intensive treatment for a long time. Knee pain may be the result of an injury, such as a ruptured ligament or torn cartilage. Medical conditions including arthritis, gout, and infections also can cause knee pain. The present state of society in both developing and developed countries though due to dissimilar reasons are foreshadowing a rise in knee complications. The treatment process involves some recurrent measurement in order to assess progress such as goniometry. It may be neglected by the patients as the equipment are complex and takes more time. Medical professionals use flexion angle as a yardstick to assess the angle of motion of the knee.Flexion angle of a knee is the angle measured between 3 points,the center of the leg,center of the knee and center of the thigh.A deep learning approach is presented using a synthetic dataset to measure the flexion angle of the knee. The jupyter notebook,blender file along with sample dataset is provided