GitHub - 3analytica/Intelligent_Document_Classification: Create a Document Classification Algorithm using Deep Learning, Machine Vision, NLP & OCR and Present to Users via a GUI

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Create a Document Classification Algorithm using Deep Learning, Machine Vision, NLP & OCR and Present to Users via a GUI

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Best Architecture.py		Best Architecture.py
Dataset_creation.py		Dataset_creation.py
Folder_test_Combined.py		Folder_test_Combined.py
Grid_Train.py		Grid_Train.py
NLP_classification.py		NLP_classification.py
README.txt		README.txt
Sequential_Train_CNN_Binaries.py		Sequential_Train_CNN_Binaries.py
Sequential_augmentation_categories.py		Sequential_augmentation_categories.py
Single File test.py		Single File test.py
Vizualize_any_image_through_all_layers.py		Vizualize_any_image_through_all_layers.py
capstone_dictionary.txt		capstone_dictionary.txt
custom_spell_checker.py		custom_spell_checker.py
dataframe_creation.py		dataframe_creation.py
delete_files.py		delete_files.py
doc_rotation.py		doc_rotation.py
enchant_autocorrect.py		enchant_autocorrect.py
first2.PNG		first2.PNG
firstscreen_capstone.py		firstscreen_capstone.py
merge_all_csv.py		merge_all_csv.py
nlp_features_function.py		nlp_features_function.py
nlp_functions.py		nlp_functions.py
pdfs_2_images.py		pdfs_2_images.py
pick_random_sample_create_eval.py		pick_random_sample_create_eval.py
preprocess_function.py		preprocess_function.py
second_pic.jpg		second_pic.jpg
secondscreen_capstone.py		secondscreen_capstone.py
text_classification_model.sav		text_classification_model.sav
text_extraction_process_new.py		text_extraction_process_new.py
third_pic.jpg		third_pic.jpg
thirdscreen_capstone.py		thirdscreen_capstone.py
tick.PNG		tick.PNG
tiff_transformation.py		tiff_transformation.py
vectorizer.pickle		vectorizer.pickle

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This is a text file describing the steps that are needed in order all the codes to run.
------------------------------------------------------------------------------------------


The files inclued in the .zip file Final Deliverable, are all the required files needed
for the final deliverable to run brom beginning to end automatically.


IMPORTANT: All the files need to be extracted in the same folder.
------------------------------------------------------------------------------------------


The .zip file includes: 

-----------
Dictionary 
-----------

1)capstone.dictionary.txt


------------
Codes and Pickle Files 
------------

2)1595022683

3)text_classification_model.sav(text based model classifier)

4)vectorizer.pickle (preparation of inserted model for text based classifier)


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Images
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5)first2.PNG (Image for 1st screen)
6)second_pic.jpg (Image for 2nd screen)
7)third_pic.jpg (Image for 3rd screen)
8)tick.png (Image for tick when correct files are inserted)



------------
Codes for User Inerface
------------
9)firstscreen_capstone.py
10)secondscreen_capstone.py
11)thirdscreen_capstone.py