AI-driven Recruitment Assistant Development for TalentAnalyzer

TalentAnalyzer is an intelligent recruitment assistant designed to help HR professionals and hiring managers make more informed decisions. The system analyzes candidate resumes, evaluates audio recordings of interviews, and generates concise, actionable insights. It also highlights areas that require clarification before making a final hiring decision.

Recruiters often face information overload: dozens of resumes, hours of interviews, and subjective impressions that make it hard to compare candidates objectively. Traditional applicant tracking systems (ATS) help organize data, but they don’t truly analyze it. TalentAnalyzer was created to fill that gap — combining automation and AI to deliver clear, structured summaries of candidate profiles and interviews.

The project was built rapidly using n8n for backend automation and Lovable for the frontend interface. This approach allowed the team to launch a fully functional MVP in record time without compromising on quality or usability.

Resume Parsing & Analysis: Extracts skills, experience, and achievements to build a competency profile.

Audio Interview Analysis: Transcribes and evaluates interviews, detecting tone, confidence, and communication clarity.

Insight Generation: Produces concise summaries of each candidate, highlighting strengths, risks, and areas to clarify.

Decision Support: Suggests specific follow-up questions or red flags to check before the final hiring decision.

Backend: n8n (for fast workflow automation and AI integration)

Frontend: Lovable (for clean, user-friendly UI and rapid prototyping)

AI Components: Resume parsing, NLP for sentiment and tone analysis, LLM-based summarization

Reduced time spent on candidate evaluation by up to 60%

Improved consistency and fairness in the hiring process

Enabled HR teams to focus on strategic conversations instead of manual screening