Recruiters waste endless hours manually scanning hundreds of unformatted resumes, often missing strong candidates due to fatigue.
To solve this, I built an AI Resume Screening Agent that automates the heavy lifting:
Semantic Matching: Uses sentence embeddings to understand the true context of skills rather than relying on rigid keyword matching.
Instant Leaderboard: Automatically parses multiple PDF resumes, computes match scores, and ranks candidates from best to worst.
Actionable AI Feedback: Instantly generates structured breakdowns of candidate strengths, missing skill gaps, and hiring recommendations using the Groq API.
Workflow Efficiency: Condenses hours of sorting into seconds with a one-click CSV report export.
Keeping the research plan and cited results side by side is a useful way to make the agent’s work easier to inspect. I’d lean toward light mode for reading the table in daylight. How do you distinguish a verified source from one that still needs review?
FirstRound AI is a full-stack, AI-powered hiring and career development platform connecting employers and job seekers through intelligent automation.
Built with Base44, React, ElevenLabs, Tavus, and LLM integrations, it offers AI voice and video interviews, job discovery, candidate assessments, workforce training, and career simulations.
The platform unifies recruitment, applicant management, employer intelligence, and professional development into one scalable ecosystem.