AI-Powered 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.

Key Features & Technical Capabilities

AI Resume Parsing

The system leverages artificial intelligence to extract structured data from resumes, including education, work experience, skills, and certifications. It normalizes information across unstructured formats, such as PDFs, Word files, or scanned documents, to create standardized candidate profiles. This reduces manual data entry and ensures recruiters can instantly compare candidates without worrying about inconsistent formats.

  • Converts resumes into structured profiles
  • Handles multiple formats (PDF, Word, etc.)
  • Saves HR screening time

Qualification Validation

Educational qualifications are automatically checked against job-specific requirements using weighted scoring rules. The system identifies whether a candidate meets essential academic thresholds and validates certifications where required. This ensures hiring managers spend time only on candidates who are truly qualified, reducing wasted effort on mismatched applications.

  • Automates education checks
  • Ensures role-based eligibility
  • Reduces mismatched applications

Experience Relevance Check

The AI evaluates the relevance of a candidate’s work history by analyzing years of experience, job roles, and industry background. It compares these details against the requirements of the position, highlighting the most suitable candidates. By removing ambiguity in evaluating professional experience, HR teams can make quicker and more confident hiring decisions.

  • Evaluates industry-specific experience
  • Matches years of work with requirements
  • Highlights the most relevant candidates

Skills Matching Engine

Powered by both keyword-based and semantic analysis, the system identifies whether a candidate has the skills required for the role. Unlike simple keyword searches, semantic matching understands context and synonyms, ensuring hidden but relevant skills are recognized. This leads to more accurate shortlisting and a better fit between candidates and job descriptions.

  • Matches skills to job descriptions
  • Supports semantic interpretation
  • Improves shortlist accuracy

Weighted Candidate Shortlisting

The AI combines education, experience, and skills into a weighted scoring model that makes up 60% of the total evaluation. This ensures candidates are shortlisted in a structured and transparent manner. Recruiters can rely on a fair, data-driven system that consistently applies the same criteria across all applications.

  • Weighted evaluation for fairness
  • Scores based on predefined criteria
  • Automates shortlist creation

Integrated Assessments

Candidate assessments are seamlessly integrated into the system, with results automatically contributing to the final score (40%). Test scores are added to the weighted evaluation of education, skills, and experience, creating a holistic candidate profile. This ensures objective comparisons and reduces human error in interpreting test results.

  • Auto-calculates assessment scores
  • Adds results to final ranking
  • Standardizes candidate evaluation

Transparent Candidate Ranking

All candidates are ranked in descending order with visibility into how each score was calculated. HR teams can review breakdowns of education, skills, experience, and assessment performance, ensuring complete transparency. This clear ranking mechanism builds confidence in the selection process and enables faster, evidence-based decisions.

  • Provides ranked candidate lists
  • Ensures clear comparison
  • Builds trust in hiring process

Guided Four-Step Onboarding

After selection, candidates move through a guided onboarding form that captures personal, employment, education, and experience details. The structured process ensures that nothing is missed, while also supporting multiple entries for jobs or educational qualifications. The information is stored securely in digital profiles, making onboarding smooth and complete.

  • Structured employee data capture
  • Supports multiple job/education entries
  • Ensures onboarding completeness

Secure Digital File Management

The platform stores resumes, certificates, photos, and related documents in encrypted digital files. HR can access documents easily while ensuring compliance with privacy regulations. This approach safeguards sensitive information, prevents data loss, and centralizes employee records for long-term management.

  • Encrypted file storage
  • Centralized candidate records
  • GDPR-compliant security

Scalable Infrastructure & Chatbot Assistance

Built on scalable infrastructure, the solution can process large volumes of resumes in parallel without delays. It also includes chatbot assistance to guide HR staff through screening and onboarding tasks. This combination ensures efficiency, user-friendliness, and the flexibility to grow with organizational needs.

  • Handles bulk resume processing
  • Provides chatbot-based HR assistance
  • Ensures future scalability

The system leverages artificial intelligence to extract structured data from resumes, including education, work experience, skills, and certifications. It normalizes information across unstructured formats, such as PDFs, Word files, or scanned documents, to create standardized candidate profiles. This reduces manual data entry and ensures recruiters can instantly compare candidates without worrying about inconsistent formats.

  • Converts resumes into structured profiles
  • Handles multiple formats (PDF, Word, etc.)
  • Saves HR screening time

Educational qualifications are automatically checked against job-specific requirements using weighted scoring rules. The system identifies whether a candidate meets essential academic thresholds and validates certifications where required. This ensures hiring managers spend time only on candidates who are truly qualified, reducing wasted effort on mismatched applications.

  • Automates education checks
  • Ensures role-based eligibility
  • Reduces mismatched applications

The AI evaluates the relevance of a candidate’s work history by analyzing years of experience, job roles, and industry background. It compares these details against the requirements of the position, highlighting the most suitable candidates. By removing ambiguity in evaluating professional experience, HR teams can make quicker and more confident hiring decisions.

  • Evaluates industry-specific experience
  • Matches years of work with requirements
  • Highlights the most relevant candidates

Powered by both keyword-based and semantic analysis, the system identifies whether a candidate has the skills required for the role. Unlike simple keyword searches, semantic matching understands context and synonyms, ensuring hidden but relevant skills are recognized. This leads to more accurate shortlisting and a better fit between candidates and job descriptions.

  • Matches skills to job descriptions
  • Supports semantic interpretation
  • Improves shortlist accuracy

The AI combines education, experience, and skills into a weighted scoring model that makes up 60% of the total evaluation. This ensures candidates are shortlisted in a structured and transparent manner. Recruiters can rely on a fair, data-driven system that consistently applies the same criteria across all applications.

  • Weighted evaluation for fairness
  • Scores based on predefined criteria
  • Automates shortlist creation

Candidate assessments are seamlessly integrated into the system, with results automatically contributing to the final score (40%). Test scores are added to the weighted evaluation of education, skills, and experience, creating a holistic candidate profile. This ensures objective comparisons and reduces human error in interpreting test results.

  • Auto-calculates assessment scores
  • Adds results to final ranking
  • Standardizes candidate evaluation

All candidates are ranked in descending order with visibility into how each score was calculated. HR teams can review breakdowns of education, skills, experience, and assessment performance, ensuring complete transparency. This clear ranking mechanism builds confidence in the selection process and enables faster, evidence-based decisions.

  • Provides ranked candidate lists
  • Ensures clear comparison
  • Builds trust in hiring process

After selection, candidates move through a guided onboarding form that captures personal, employment, education, and experience details. The structured process ensures that nothing is missed, while also supporting multiple entries for jobs or educational qualifications. The information is stored securely in digital profiles, making onboarding smooth and complete.

  • Structured employee data capture
  • Supports multiple job/education entries
  • Ensures onboarding completeness

The platform stores resumes, certificates, photos, and related documents in encrypted digital files. HR can access documents easily while ensuring compliance with privacy regulations. This approach safeguards sensitive information, prevents data loss, and centralizes employee records for long-term management.

  • Encrypted file storage
  • Centralized candidate records
  • GDPR-compliant security

Built on scalable infrastructure, the solution can process large volumes of resumes in parallel without delays. It also includes chatbot assistance to guide HR staff through screening and onboarding tasks. This combination ensures efficiency, user-friendliness, and the flexibility to grow with organizational needs.

  • Handles bulk resume processing
  • Provides chatbot-based HR assistance
  • Ensures future scalability

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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