The pandemic situation revealed deficiencies in the system, particularly with regard to the distribution of necessities. A solution is provided by autonomous vehicles which improve delivery while lowering human interaction. The article offers a design framework that combines robotics, computer vision, and artificial intelligence for the use of autonomous vehicles during pandemics. In order to efficiently satisfy customer demand, the vehicles dynamically modify their routes and behaviors. The system uses an Arduino for motor control and a Raspberry Pi as the master controller for image processing to recognize lanes and avoid obstacles in real time. It also uses a camera with OpenCV. Placed atop a robotic automobile chassis, the Raspberry Pi camera records the surroundings at different angles. Wheel behavior is controlled by an algorithm that uses geometric form, area, and color recognition. Methods such as contour detection and picture thresholding allow the vehicle to operate autonomously.