Really bad value of Val loss
You can test with higher values of Dropout (0.5,0.7,0.9) and/or try L1/L2 Regularization to combat overfitting  : Keras Regularizers.

Update:
You can play with a combination of l1/l2 regularization and dropout for your convolutional and FC layers. Start with low values of lambda (0.001) and increase it thereon. A common practice is to have dropout only in the FC layers, see if it helps your problem. 

Also, from the looks of your loss curve, your model probably hasn't converged.You can train it until your validation loss starts going up/becomes stable.