• Trained convolutional neural network to classify the traffic signs.
• Trained model so it can classify traffic sign images using the German Traffic Sign Benchmark Dataset.
• Tested the model on images of German Traffic Sign from the web.

• Developed a software pipeline to reliably detect and track cars in a video from a front-facing camera on a car.
• Performed feature extraction on a labeled training images and trained a SVM classifier.
• Executed the pipeline on a video stream which tracked the vehicles.

• Data extraction from web through searching plays a major role.
• Proposed an unsupervised approach that learns from the web documents and can later be used to extract data from similar documents.

Trained convolutional neural network to classify the traffic signs. Trained model so it can classify traffic sign images using the German Traffic Sign Benchmark Dataset. Tested the model on images of German Traffic Sign from the web.