Now a days, HR department is working manually to extract information from CVs. That is time consuming and hard to analyze the different format of CVS manually. To make this work easy we are designing a software that extract required information from numerous resumes of different formats (i.e pdf, pn
An automated text parsing tool for CVs
Now a days, HR department is working manually to extract information from CVs. That is time consuming and hard to analyze the different format of CVS manually. To make this work easy we are designing a software that extract required information from numerous resumes of different formats (i.e pdf, pnj, infographic resume) and convert them in a unified format for further processing.
To extract specific information from numerous resume of different formats(i.e pdf, pnj, infographic resume) and to convert them in a unified format for further processing.
Project is implemented on PYTHON language using different libraries for name entity recognition
To extract specific information from numerous resume of different formats(i.e pdf, pnj, infographic resume) and to convert them in a unified format for further processing.
NLTK
PYTHON
MONGODB
MLAB
SPACY
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Internet USB device | Equipment | 1 | 2500 | 2500 |
| Database account | Miscellaneous | 1 | 2500 | 2500 |
| Total in (Rs) | 5000 |
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