Three EUIans Develop an AI-Powered Recruitment Management Platform
A team of students in the Software Engineering track from the Faculty of Computing and Information Sciences at Egypt University of Informatics (EUI) has developed an AI-powered recruitment and hiring management platform, TlntCo, designed to help companies and organizations streamline their recruitment processes and enhance the efficiency of human resources management.
Unlike conventional recruitment software currently available in the market—which primarily relies on keyword matching in resumes to identify suitable candidates—TlntCo uses artificial intelligence to analyze and evaluate resumes, enabling more accurate candidate assessment and significantly improving hiring decisions.
Professor Hoda Mokhtar, Dean of the Faculty of Computing and Information Sciences, emphasized that recruitment has become increasingly critical in today's highly competitive business environment. As organizations compete both locally and internationally, attracting and selecting the right talent has become essential to their long-term success. She noted that Egypt's rapidly expanding economy, now exceeding EGP 6 trillion, has enabled many Egyptian companies to expand into regional and African markets, making efficient human resources management—particularly recruitment—more important than ever. TlntCo was developed to address these growing needs.
Professor Mokhtar explained that TlntCo is designed to transform the way organizations recruit talent by enabling recruiters to manage the entire hiring journey—from posting vacancies and receiving applications to evaluating resumes, scheduling interviews, communicating with candidates, and identifying the most qualified applicants.
The platform leverages artificial intelligence to simplify and optimize recruitment workflows. It automatically evaluates resumes, compares candidates against job requirements, highlights strengths and skill gaps, and ranks applicants accordingly. While traditional recruitment methods often struggle with large applicant pools, TlntCo enables recruiters to quickly identify the best candidates, generate actionable hiring insights, reduce repetitive manual tasks, manage job openings, track applicants, monitor recruitment progress, and organize hiring workflows through a centralized management system. As a result, companies can recruit faster and more efficiently.
One of the platform's key advantages is its ability to significantly reduce errors in candidate selection compared to traditional recruitment software. By applying standardized evaluation criteria to every applicant, TlntCo enhances fairness and consistency throughout the hiring process. Internal evaluations demonstrated the platform's ability to identify the three strongest candidates from applicant pools exceeding 100 individuals, greatly simplifying final review by HR teams.
Dr. Amal El-Gamal, Acting Head of the Software Engineering Department at the Faculty of Computing and Information Sciences, stated that the platform was designed and developed by fourth-year students Yehia Sonbol and Youssef Feltes from the Software Engineering track, and Ramzy Bakir from the Artificial Intelligence track, under the supervision of Dr. Sherine El-Fayoumy.
She noted that the project reflects the strength of EUI's Software Engineering program, which offers an integrated curriculum combining practical and technical expertise in systems engineering, requirements analysis, advanced software development, artificial intelligence, cloud computing, cybersecurity, project management, and technological innovation. This interdisciplinary approach prepares graduates to compete successfully in both local and international markets while equipping them to thrive in an increasingly digital and AI-driven technology landscape.
Dr. El-Gamal also announced that the university successfully registered the platform with the Egyptian Intellectual Property Authority on July 8 to protect the students' intellectual property rights.
Among its advanced features, TlntCo simplifies interview management by tracking recruitment stages, recording interview notes, and automatically generating interview questions using AI based on each candidate's resume. It also integrates seamlessly with Google Calendar to facilitate interview scheduling.
The platform enables companies to create fully customized recruitment portals that reflect their corporate identity. Candidates can apply for positions, answer pre-screening questions, upload resumes, and interact through branded recruitment portals. Organizations can also design customized email templates featuring their logos, colors, and visual identity. Recruiters can create, edit, preview, personalize, and send professional emails directly through TlntCo using an integrated email builder and AI-powered email generation tool.
Dr. El-Gamal further explained that TlntCo includes a dedicated web application that uses artificial intelligence to understand and evaluate resume content rather than simply searching for keywords. Companies can also build customized recruitment portals and generate shareable application links for posting on LinkedIn and other recruitment platforms.
Dr. Sherine El-Fayoumy, Assistant Professor at the Faculty of Computing and Information Sciences and the project's academic supervisor, explained that TlntCo differs fundamentally from traditional Applicant Tracking Systems (ATS). Conventional ATS platforms primarily function as centralized databases that collect applications and filter resumes based on keyword matching before recruiters review them. In contrast, TlntCo employs artificial intelligence to assess and evaluate resumes based on their actual content while also providing comprehensive capabilities for recruitment portal creation, email management, candidate analytics, and an intelligent AI assistant (T-Agent) that supports conversational data analysis.
She added that the platform saves recruitment teams significant time and effort throughout the hiring process. For example, it automatically summarizes interviews and generates interview notes, eliminating the need for recruiters to document them manually. It also simplifies candidate comparisons by extracting the most relevant information from each applicant, allowing HR professionals to focus on decision-making rather than administrative tasks.
In addition, TlntCo offers several advanced features, including the ability to send bulk acceptance and rejection notifications using customized email templates. For rejected candidates, the platform can automatically provide objective reasons for rejection based on resume analysis, interview performance, and candidate responses. Candidate information is securely stored in a centralized database, enabling organizations to reconsider previously rejected applicants for future vacancies if the original reasons for rejection are no longer relevant, thereby creating a more efficient and sustainable talent pipeline.