AI-Powered CV Ranking System
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ProjectOverview
The AI-based CV Ranking System was designed to automate and streamline the recruitment process by ranking resumes based on relevance to job descriptions. The application used advanced NLP and machine learning techniques to parse, analyze, and score CVs, ensuring a fair and efficient ranking process. It was tailored to meet the needs of various industries and integrated seamlessly with existing recruitment tools.
Team Size
Engagement
Epesi is a cloud-based CRM platform that helps businesses manage sales, customer service, and operations. It provides tools for automation, data analysis, and team collaboration, enhancing efficiency and customer experiences. Epesi is known for its flexibility and scalability, making it suitable for businesses of all sizes.
Challenges & Solutions
Challenges
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Inconsistent formatting of CVs (PDF, Word, etc.).
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Missing or incomplete information in resumes.
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Risk of algorithmic bias based on gender, ethnicity, or educational background.
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Difficulty in ensuring fairness across diverse candidate pools.
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Handling large volumes of CVs in real-time.
Solutions
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Implemented a robust preprocessing pipeline to standardize CV formats.
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Used NLP techniques to extract and validate key information.
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Incorporated fairness-aware algorithms to reduce bias.
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Regularly audited the model for biased outcomes.
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Deployed the model on a cloud-based infrastructure for scalability.
Core Technologies
Transformative ResultsDelivered
The AI-based CV Ranking System reduced time-to-hire by 40% and improved shortlisting accuracy by 30%. Clients praised its fairness, customization, and seamless ATS integration. Within a year, it was adopted by 10+ organizations, setting a new standard for AI-driven recruitment tools.
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