We use autonomous line-following robots in various industrial environments, surveillance applications, and construction and mining industries for object transportation tasks where rail, conveyer, and gantry solutions are unavailable. They help us reduce the work process and improve efficiency. In this report, we will illustrate how a 2WD robot can move on a predefined path and detect obstacles along the way. In this project, we have used a proximity sensor to detect the obstacle in the path and turn the robot from the obstacle. Also, we used an IR sensor so that robot could follow along the predefined path. The used in the project sensors were connected to Arduino UNO, which was programmed to control the robot's movements and decisions. By employing these two techniques, we can efficiently use such robots in various scenarios. For example, in the current Covid scenario, physical contact has become minimal, so if we use this line-following robot to deliver medicines to the patient, the physical contact between people can be reduced. The obstacle avoidance robot technique can be used in cars to improve safety. If an obstacle is detected in the path of the car and the driver does not apply the brakes, this type of technique can be used to bring the car to a stop by applying breaks. Using the proposed robotic techniques we can save time and work efficiently with minimal physical touch. Overall, the project achieved its primary goal of moving the robot on a predefined path and detecting obstacles on the path