Streamlining hiring with
automated resume parsing.

  • Industry: Human Resource
  • Country: India
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The goal is to create a Resume Parse System in SharePoint. This system will help to manage different resumes, automated parsing, and streamline the recruitment process. It will make resume management more efficient, reduce administrative burdens, and lead to quicker, more informed hiring decisions.

The core challenges

  • Time consuming process: Manually reviewing and extracting data from many resumes can be incredibly time-consuming, especially for organizations receiving hundreds or thousands of applications
  • Inconsistencies & errors: Different HR personnel may interpret and enter data differently, leading to inconsistencies in how candidate information is recorded and categorized.
  • Lack of standardization: Resumes come in various formats, and without a standardized approach, it was challenging to ensure all relevant information is captured uniformly.
  • Scalability issues: As the number of resumes increases, the manual process becomes increasingly difficult to manage, leading to backlogs and further delays in the recruitment process. Scaling the manual process would require additional HR personnel, increasing costs and resource allocation without necessarily improving efficiency.
  • Lack of automation: Without automation, the process cannot benefit from efficiencies like automatic data extraction, error-checking, or instant communication, making the overall process slower and less reliable.

Solution The solutions work together to enhance the value, effectiveness, and user experience of the Resume Parse site, while also addressing the project's challenges:

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    Centralized data management: Store all resume parsed information in SharePoint, enabled easy access, search, and filters for quick candidate identification.
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    Automated workflows: We implemented Automate workflows for email receiving, creating file in SharePoint, and extracting the required information, improving process efficiency.
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    Scalability: We Scaled the system to handle large volumes of resumes without additional labor costs or performance degradation.

Integration.
Equipped with a variety of
data sources.

This system offers a diverse and comprehensive range of features. We have integrated different types of features and workflows.

  • Integrated AI Model to get the required information
  • Handling large volume of Resumes
  • Data management system
  • Automated Resume Uploads from email to One drive
  • Structured Data Storage
  • Embedded Advanced Search and Filters in SharePoint list
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Customization.

To ensure the Resume Parse System aligns perfectly with our unique requirements, we customized several features.

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SharePoint integration for parsed information

Integrated SharePoint to centralize Candidate’s parsed information for the HR department.

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Customized workflows

Developed workflow with Power Automate to automate extracts and organizes key resume information, reducing the time and efforts required for manual processing.

Enhancement.
By adding useful features.

To elevate this system and provide an enhanced user experience, we have incorporated a range of features empowering users to improve the user experience.

Real-Time parsing and updates

We enabled real-time parsing of resumes as they are uploaded, with instant updates to SharePoint List.

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Contextual understanding of AI model

Implemented AI model which can understand the context of phrases within resumes, distinguishing between similar terms. (e.g., recognizing "Java" as a programming language vs. a hobby).

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Explore more.
Additional features.

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Train AI model. The "Train AI Model" feature empowers HR teams and system administrators to refine and enhance the AI model’s performance over time. By incorporating new data, user feedback, and specific organizational requirements, this feature ensures that the AI model evolves to become more accurate, relevant, and aligned with the unique hiring processes.

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Responsive system. The system is designed to be responsive, ensuring that it works well on both desktop and mobile devices. This makes it easy for team members to access the Resume Parse System on the go, from any device.

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