Built a deep neural network model that can classify traffic signs present in the image into different categories. This model is able to read and understand traffic signs , an application for self driving car.

GTSRB - German Traffic Sign Recognition Benchmark -- data set is used from Kaggle

👉 https://www.kaggle.com/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign

💻 Keras, Matplotlib, Scikit-learn, Pandas, PIL and image classification are used in the project

💻 CNN is used for image classification trained model is compiled with the model with Adam optimizer

👽 a graphical user interface for our traffic signs classifier with Tkinter.

💥 traffic_classifier.h5 -- is the loaded trained model