🎯 Executive Summary
Automatic extraction of information from CVs (PDF, image, Word) and building a structured candidate database — accelerating recruitment.
💰 Estimated ROI: 80% less initial‑screening time, 2–3× more candidates reviewed, better match quality.
🏭 Target Industries: Recruitment firms, HR of large organizations, job‑search platforms
⏱ Implementation Time: Ready in 3 weeks, domain fine‑tuning 2 months
📊 Key KPIs: Screening time, field‑extraction accuracy, job‑match rate, time‑to‑hire
📋 Technical Project Details
This system is designed to accurately extract key information from various résumés and analyze them automatically, where the main challenge is processing unstructured text data into a structured format. Using natural language processing (NLP) and entity extraction (NER), the system identifies information such as name, work experience, skills and education — useful in recruitment to speed up screening. Optimizing the models for different languages, especially Persian, has been a key aspect of development to increase extraction accuracy and reduce errors. This approach can be applied on HR platforms to manage a high volume of résumés.
In the development stage, the focus was on analyzing diverse résumés in various formats so the system can comprehensively gather scattered data. The system not only extracts basic information but, by analyzing content, also enables scoring or categorizing résumés — a feature that facilitates decision‑making. Data security is ensured by encrypting personal information to protect individuals’ privacy. The project is ongoing and its progress reflects strong potential to reduce manual processing time.
Beyond the technical aspects, the system emphasizes integration with existing systems to improve the recruitment workflow without disruption. Using intelligent reports, users can view résumé summaries and run advanced searches. This shift from manual to intelligent extraction not only increases speed but also improves accuracy in HR management.
Ultimately, the goal of this system is to create a résumé‑information‑extraction tool that helps organizations in their recruitment processes. This innovation can be a model for similar use cases in digital HR and increase efficiency. As development continues, this system is expected to become a standard in résumé analysis.