Automatic Traffic Sign Detection System With Voice Assistant

In the arena of artificial intelligence, the world is revolutionizing with many technological applications being incorporated with Artificial Intelligence due to improved efficiency and performance. AI has penetrated drastically, delving deep into locker room decisions in many fields like agriculture, healthcare, military, manufacturing, robotics, transportation and so on. AI does a lot more than improving our lives, in most cases, it saves our lives too. Autonomous vehicles, the so-called self-driving cars, are one of the greatest applications of AI and are very instrumental in making the machine work autonomously by observing and interpreting the real-life scenario of the environment. This paper deals with the deployment of an Automatic Traffic sign detection System with voice assistant, which is one of the applications of autonomous vehicles, which can tone down the driver from puzzling traffic conditions significantly increasing driving safety and comfort. This will require an appropriate database and algorithm for improved accuracy in performance. This paper, therefore, compares the features, accuracy, and efficiency of various deep learning algorithms and comes up with a varied model thus saving computational resources.