Traffic Congestion and traffic observing is one of the significant issues everywhere in the world. This work utilizes IoT and Adaptive Neuro-Fuzzy Inference System (ANFIS) to improve traffic conditions. An ANFIS traffic light regulator with contributions as holding up time and vehicle thickness is created utilizing MATLAB SIMULINK climate. A camera is utilized to catch the traffic scenes, and this image is moved to the cloud utilizing Arduino Platform. The image is then broke down in the worker utilizing ANFIS regulator, and reasonable control signals are shipped off the traffic signals.