This is the case of an internal project where Diveria was the client, specifically the Operations and People department.
With significant growth in recent years, Diveria faced the challenge of managing increasing complexity in responding to project proposals. One of the main obstacles was the lack of detailed information about the specific skills of its team members, making it difficult to assess their ability to take on specific projects.
In this context, our team developed TalentHub, a centralized web platform designed to manage and track employees' skills and knowledge. The primary goal of the project was to provide a tool that allows users to upload, update, and query information about employee capabilities, extracted from resumes and other relevant sources.
For TalentHub’s development, our team focused on creating a platform that streamlined the management and tracking of Diveria’s workforce skills. The core approach was leveraging advanced technologies to ensure flexibility, customization, and efficiency.
Implementation of a system for uploading resumes in .pdf, .doc, .docx, and .txt formats.
Development of an AI-powered model to analyze and standardize skills from resumes, ensuring consistency and relevance.
Integration of a graphical interface to refine AI-generated results and incorporate new information as needed.
Creation of an AI-based recommendation engine for searching and filtering team members using compatibility scores and custom search parameters.
Feature that enables the creation of standardized resumes for each team member.
Implementation of a tagging system for classifying skills.
Development of features to add, remove, and modify employees and projects.
