AI-Based Android App Skin cancer Detector| Image classification | Complete project

[@muhammadarslanakhtar1973]

HY sir!
Sir detection is not working properly it gives a high confidence value for every image no matter what type of image it is

[@sandeshpol4028]

Hello sir can i add login page on same project

[@bouzayanifatma5173]

Bonjour donner le line de code et dataset

[@0_0-0_0.]

Thanks a lot 🙏

[@AtmaRam-se5hi]

Sir Kotlin used karke app banaya hae kya apne ?

[@monikaweerasinghe-o8p]

Sir how can we collect more data to feed the algorythm?

[@MMaaz-ve5ii]

Bro, android ki new updates k sath run ni ho rha app sai sa kch idea ya guidelines dydo... thanks in advance

[@AtmaRam-se5hi]

From where did u get the dataset?

[@fikrihaikal9127]

good day sir, where can i get the dataset?

[@Sal-xk8hb]

The whole android app code it wrong im getting error everywhere

[@gokulr9050]

IS SHOW GRADLE error need to update how i can i do this

[@fathinnoushad480]

the android part isnt clear , how to open the android app in android studio

[@sharmainecastillo9962]

Hi, why I can't access the code link

[@trakingteckdst6958]

not able to deploy app

[@it_65_tanvichile31]

Pls make the another video for Android app programming... Not getting that part

[@mrithulamaggie3902]

I am not able to convert it into apk Format

[@giapratama119]

Hallo, I have try your code and have a question:
For example a have 3 grade for apple:
Grade 1 for Fresh Apple
Grade 2 for Mix Apple (have a fresh and rotten)
Grade 3 for Rotten apple
When I send photo of mix apple, because there are a fresh apple it count as grade 1. How can I fix this?

[@kybal7154]

good day sir! i am new to this and is curious if it is possible to train the model in a dfferent way but use the same code for android studio? thank you

[@kelixoderamirez]

permission to learn sir

[@tejeshnaiduponnamaneni4758]

Bro I need code pls send me

[@ArtificialIntelligenceHub]

I have mentioned in a video..and given link for code

[@richarddelapena2425]

Good day sir, I am trying to set 28*28 pixels as an input but unfortunately it gives me an error.
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In [11], line 2
1 print("Building model with", MODULE_HANDLE)
----> 2 model = tf.keras.Sequential([
3 feature_extractor,
4 tf.keras.layers.Flatten(),
5 tf.keras.layers.Dense(512, activation='relu'),
6 tf.keras.layers.Dropout(rate=0.2),
7 tf.keras.layers.Dense(train_generator.num_classes, activation='softmax',
8 kernel_regularizer=tf.keras.regularizers.l2(0.0001))
9 ])
10 #model.build((None,)+IMAGE_SIZE+(3,))
12 model.summary()
File ~\AppData\Roaming\Python\Python310\site-packages\tensorflow\python\trackable\base.py:595, in no_automatic_dependency_tracking.._method_wrapper(self, *args, **kwargs)
593 self._self_setattr_tracking = False # pylint: disable=protected-access
594 try:
--> 595 result = method(self, *args, **kwargs)
596 finally:
597 self._self_setattr_tracking = previous_value # pylint: disable=protected-access
File c:\Users\Alkaejah\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\utils\traceback_utils.py:67, in filter_traceback..error_handler(*args, **kwargs)
65 except Exception as e: # pylint: disable=broad-except
66 filtered_tb = _process_traceback_frames(e.__traceback__)
...
Call arguments received by layer "keras_layer" (type KerasLayer):
• inputs=tf.Tensor(shape=(None, 28, 28, 1), dtype=float32)
• training=None
please help sir, thank you in advance.

[@ArtificialIntelligenceHub]

hey, because the model is pre trained you cannot directly change the input dimension. you have to make the model from scratch or upsample your dataset to the given dimensions

[@richarddelapena2425]

@@ArtificialIntelligenceHub Understood sir, can i have your email address sir or linkedn if you mind, thank you sir