Introduction
Traffic Sign Classifier project is focused on predicting traffic signs using a machine learning model. The project utilizes a combination of several technologies, including Python Flask, HTML, CSS, JavaScript, and other vision libraries. The source code is availabe at Github.
The Python Flask framework has been used to develop the backend of the project. The front-end of the project has been developed using HTML, CSS, and JavaScript, providing a user-friendly interface. The interface allows users to upload images of traffic signs, and the machine learning model processes these images to predict the traffic sign.