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Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention Sample Data Set Details: Resumes and financial documents

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MoinDalvs/Resume_Screening_and_Parser

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GIthub Requirements
GIthub Requirements
 
 
Images
Images
 
 
Jupyter Notebooks
Jupyter Notebooks
 
 
Resumes
Resumes
 
 
Resumes_docx
Resumes_docx
 
 
Resumes_pdf
Resumes_pdf
 
 
Test Resumes
Test Resumes
 
 
README.md
README.md
 
 
Requirement document- Document Classification (1).docx (1).pdf
Requirement document- Document Classification (1).docx (1).pdf
 
 
Resume Classification & Parser - Report.pdf
Resume Classification & Parser - Report.pdf
 
 
Resume_Clasification.pptx
Resume_Clasification.pptx
 
 
constants.py
constants.py
 
 
model_evaluation.pkl
model_evaluation.pkl
 
 
model_id.pkl
model_id.pkl
 
 
model_rc.pkl
model_rc.pkl
 
 
requirements.txt
requirements.txt
 
 
upload_containter_resume_classification.py
upload_containter_resume_classification.py
 
 

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Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention

Sample Data Set Details: Resumes and financial documents


This project is part of Data Science internship at AiVariant

Contact me by

Name 💌Email Adress
Moin Dalvi moindalvs@gmail.com

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Author

 moindalvs@gmail.com

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Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention Sample Data Set Details: Resumes and financial documents

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data-science text-mining text-classification text text-analysis text-processing doc2vec docx2txt unstructured-data pdf-document-processor pdf2txt doc2txt docx-converter docx-to-pdf streamlit

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