98% training accuracy but predictions on new images are wrong - Overfitting?

DL newbie here. I'm training a deep learning model on images. I'm getting 98% accuracy on the training data, but when I try to predict on new images or even the training data, the answers are always wrong. What could be the problem?

Is this example of overfitting, if yes then can anyone give me some advice


Loss and Acc graphs: [https://imgur.com/a/thQhsuI](https://imgur.com/a/thQhsuI)

https://preview.redd.it/p55j5g265fwc1.png?width=1091&format=png&auto=webp&s=db575954e3ed022860046cc3be3b942013aa950b

accuracy data deep learning deeplearning example images newbie overfitting predictions training training data