AI-Driven Recruitment Optimization

Activities:

• Designed and implemented a scalable Natural Language Processing (NLP) framework using AWS Comprehend to analyze large volumes of job applications data.
• Integrated Explainable AI to enhance trust in candidate selection by providing clear insights into the decision-making process.
• Optimized and validated the algorithm for high accuracy in candidate ranking and compatibility with client-specific metrics.
• Deployed the solution in a cloud-based environment to handle extensive recruitment demands seamlessly.

Deliverables:

• AI algorithm capable of analyzing and scoring up to 30,000 CVs per semester.
• Custom-built NLP model for extracting relevant information and evaluating candidates based on predefined parameters.
• Dashboard for HR teams to visualize candidate rankings, providing actionable insights and detailed reports.
• Fully automated system integrated into the client's existing HR software, enabling seamless workflow adaptation.

Outcomes:

• Achieved high accuracy in identifying candidates that match organizational requirements, improving recruitment quality.
• Substantially reduced manual effort and time spent on résumé evaluation, allowing HR teams to focus on strategic initiatives.
• Enabled the automatic evaluation of 30,000 résumés per semester, ensuring scalability and efficiency.