Talent AI: Conversational Avatar for Talent Acquisition Processes

In high-volume recruitment environments, HR teams face increasing pressure to qualify technical profiles quickly while maintaining a positive candidate experience. Traditional screening methods are time-consuming and often lack consistency, especially when evaluating soft skills or emotional cues. This project introduces a conversational avatar designed to streamline early-stage candidate interactions through AI-powered dialogue.

OBJECTIVE

Optimize the initial phase of the talent acquisition process by deploying a digital avatar capable of conducting natural, empathetic conversations with candidates, reducing HR workload, accelerating profile qualification, and improving candidate experience.

SOLUTION

A photorealistic AI avatar integrated into the career site, capable of conducting real-time interviews, evaluating technical and soft skills, and delivering structured recruitment insights to HR systems.

KEY ACTIONS

Designed conversational flow based on role-specific hiring criteria
Trained avatar using technical and emotional intelligence datasets
Integrated avatar via iframe for web and mobile access
Captured structured candidate data (CSV, JSON, API)
Enabled traceability metrics (drop-off rates, success ratios)

TECHNOLOGIES

Generative AI (ChatGPT, Microsoft CLU)
Emotional AI (sentiment analysis, empathy modeling)
WebGL for avatar rendering
Speech-to-Text (STT) and Text-to-Speech (TTS)
RAG (Retrieval-Augmented Generation)
API integration with ATS and HR platforms

SAVINGS & BENEFITS

40% reduction in HR screening time per candidate
3x faster identification of qualified technical profiles
25% increase in candidate engagement and completion rates
Improved consistency in early-stage evaluations
Real-time recruitment insights via traceability dashboards