https://github.com/moindalvs/resume_classification
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
https://github.com/moindalvs/resume_classification
classification classification-algorithm data-science docx docx2txt ensemble-machine-learning pdfplumber resume-app resume-parser text-analysis text-classification text-mining text-processing textract
Last synced: 3 months ago
JSON representation
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
- Host: GitHub
- URL: https://github.com/moindalvs/resume_classification
- Owner: MoinDalvs
- Created: 2022-09-21T02:38:14.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-12-03T10:13:09.000Z (over 2 years ago)
- Last Synced: 2025-01-18T00:44:01.416Z (5 months ago)
- Topics: classification, classification-algorithm, data-science, docx, docx2txt, ensemble-machine-learning, pdfplumber, resume-app, resume-parser, text-analysis, text-classification, text-mining, text-processing, textract
- Language: Jupyter Notebook
- Homepage:
- Size: 15.8 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Resume_Classification [](https://moindalvs-resume-classification-trail-resume-szy81n.streamlitapp.com/) 👈 Click here!
### **`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
### This project is part of Data Science internship at [AiVariant](https://aivariant.com/)
### **Contact me by**
Name | 💌Email Adress |
| --- | --- |
| **Moin Dalvi** | [email protected] |





















___## Author
[Table of Content](#0.1)
**
♡ Thank you for taking the time ♡**