ML based Automatic CV Shortlisting System for HR
Finding suitable candidates for an open role could be a daunting task, especially when there are many applicants. It can impede team progress for getting the right person on the right time. An automated way of ?Resume Classification and Matching? could really ease the tedious process of fair screeni
2025-06-28 16:28:35 - Adil Khan
ML based Automatic CV Shortlisting System for HR
Project Area of Specialization Software EngineeringProject SummaryFinding suitable candidates for an open role could be a daunting task, especially when there are many applicants. It can impede team progress for getting the right person on the right time. An automated way of “Resume Classification and Matching” could really ease the tedious process of fair screening and shortlisting, it would certainly expedite the candidate selection and decisionmaking process.
Project ObjectivesPersonality of a person plays a crucial role in the organizational progress and also in the self-development process in an individual's life. One of the typical ways to predict the person's personality is either by a standard review or by scrutinizing the Curriculum Vitae of the candidate.
those persons collect good result CV and then our software scan of all CV and then give result of only good CV
Project Implementation Method1 Analysis data
2 Design model
3 Coding
4 Operations
5 Presentation
Benefits of the ProjectIt Will save our time and difficulty
we will decrease the cost throw this software
using this software give job only of those person that are high qualified and getting good CV
Technical Details of Final DeliverableIf we will deliver the project then project getting error or any other problem we will be solve the that problem
Final Deliverable of the Project Software SystemCore Industry ITOther Industries Education Core Technology Big DataOther Technologies Artificial Intelligence(AI)Sustainable Development Goals Quality EducationRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 20000 | |||
| camra | Equipment | 2 | 10000 | 20000 |