Keras Conv3d layer not giving expected output

Question

I have this model

model = keras.Sequential(
    [
        keras.layers.Flatten(input_shape=(28, 28), name=("Input")),
        keras.layers.Dense(2048, activation=("relu"), name=("ReLU")),
        keras.layers.Dropout(0.2, name=("Dropout")),
        keras.layers.Dense(10, activation=("softmax"), name=("Softmax")),
        keras.layers.Conv3D(10, (10, 10, 10),name="Convolutional3D")
    ],
    name=("Model")
)

And use a model.fit to run it, whenever i run the code i get this error message ValueError: Input 0 of layer "Convolutional3D" is incompatible with the layer: expected min_ndim=5, found ndim=2. Full shape received: (None, 10)