Resume Screening

The solution was designed to modernize the HR recruitment and onboarding process by combining AI-powered resume screening with a four-step guided employee registration form. Traditionally, HR staff spent hours manually reviewing resumes, extracting candidate details, and entering data into employee profiles. This system eliminates inefficiencies by automatically parsing resumes, validating candidate information, and scoring applicants against predefined criteria. The process starts with automated shortlisting based on education, experience, and skills. Candidates who meet these requirements proceed to an assessment phase, where scores are calculated based on performance. The system then ranks candidates in descending order to help HR select the best fit. Once a candidate is hired, the four-step guided form ensures all personal, employment, education, and experience details are captured and stored securely in their digital profile. This unified workflow not only accelerates resume screening but also streamlines onboarding into a single, intelligent HR solution.

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Key Challenges and Solutions

Manual Resume Screening

  • HR teams spent too much time reading and filtering resumes. Implemented AI-powered parsing to automatically extract qualifications, skills, and experience.

Unstructured Resume Formats

  • Different layouts and file types made comparison difficult. Used NLP models to normalize extracted data into a structured format.

Qualification Validation

  • Ensuring candidates’ education matched job requirements was difficult. Automated education validation against job descriptions with weighted scoring.

Experience Relevance

  • Different industries and roles created ambiguity in experience evaluation. AI checked years, type, and relevance of experience against the job role.

Skills Matching

  • Manually verifying skill sets delayed shortlisting. Built a keyword-based and semantic skill matcher to validate proficiency.

Assessment Integration

  • Tracking candidate assessment scores was inconsistent. Linked assessments with automated scoring, adding to the final candidate ranking.

Ranking Transparency

  • HR needed clear comparison across multiple candidates. Designed a weighted scoring and ranking mechanism with breakdown visibility.

Overview

The solution streamlines recruitment and onboarding by combining AI-driven resume screening with a structured employee registration process. It automatically parses resumes, validates candidate qualifications, and ranks applicants to help HR identify top talent faster. Once selected, a four-step guided form captures personal, employment, education, and experience details, ensuring accuracy, completeness, and secure storage in a unified digital profile. This modern approach reduces manual effort, accelerates hiring, and delivers a seamless end-to-end HR experience.

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Industry

Hotel & Resort Management

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Region

Maldives

Technical Stack

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Our Role

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Development

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Deployment on server

Project Highlights

  • AI Resume Parsing
    Extracts education, experience, and skills directly from resumes.
  • Weighted Shortlisting
    Candidates scored 60% on education, experience, and skills.
  • Integrated Assessments
    Automatic calculation of test results (40%).
  • Candidate Ranking
    Transparent ranking mechanism for HR selection
  • Four-Step Guided Onboarding
    Structured flow for personal, employment, education, and experience data.
  • Dynamic Record Management
    Support for multiple education and job entries with documents.
  • Secure Digital File
    Encrypted storage for photos, certificates, and resumes.
  • Chatbot Assistance
    Conversational support to guide HR through the process.
  • Scalable Infrastructure
    Parallel processing to handle large volumes of resumes.
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Project Screenshots

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