About this project
In one sentence, what are you building?
HireSense AI: Agentic Interviewer with Real-Time Emotion Detection Traditional mock-interview bots are static; our solution actively reasons and adapts. Using client-side computer vision (TensorFlow.js), our agent deploys internal tools to perform real-time emotion detection through the user's webcam, alongside live resume gap analysis. By understanding the user's emotional state, the agent makes autonomous decisions to alter its interviewing strategy—shifting to a warm, supportive tone if the candidate is "Stressed," or asking deep technical follow-ups if they are "Confident." We provide total transparency through a live "Agent Traces" UI, allowing users (and judges) to visibly see the AI simulating actions, using tools, and making decisions in real-time.
What problem are you solving?
The agent makes high-quality decisions based on live environmental data. Using client-side computer vision, it reads the candidate's facial expressions and autonomously decides to shift its interviewing strategy—becoming warm and supportive if the user is stressed, or asking deep technical follow-ups if they are confident.