An automated text parsing tool for CVs

Project Title

An automated text parsing tool for CVs

Project Area of Specialization Artificial IntelligenceProject Summary

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.

Project Objectives

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 Implementation Method

Project is implemented on PYTHON language using different libraries for name entity recognition 

Benefits of the Project

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.

Technical Details of Final Deliverable

NLTK 
PYTHON
MONGODB
MLAB

SPACY

Final Deliverable of the Project Software SystemType of Industry IT Technologies Artificial Intelligence(AI)Sustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	5000
Internet USB device	Equipment	1	2500	2500
Database account	Miscellaneous	1	2500	2500