This is a small Machine Learning project done using tensorflow and python with HTML for classifying images and identifying what that image is about. The dataset Used i used is from tensorflow cifar10 and it contains 10 different classes and 60000 images(50000 for training and 10000 for testing). The model I trained is saved and then it used again in order to test new images. Model had 85% of accuracy for trained data and 70% of accuracy for testing data. I trained the model for 35 epochs and can improve the accuracy by increasing number of epochs. To create the neural network I used API keras and it did the work pretty well. All the codes, trained model,sample images can be found in this repo with the tutorials I used for my guidance.