AI Interview coach agent

Created by team JTC on September 21, 2025

AI Interview Coach Agent is a complete end-to-end solution designed to help job seekers prepare for interviews in a highly interactive and personalized way. Built using Coral Protocol, Mistral AI, ElevenLabs, and Lovable.dev, it combines multi-agent orchestration, natural language reasoning, and lifelike voice technology to deliver an immersive learning experience. The web-based frontend, developed with Lovable.dev, features a welcoming landing page, an intuitive chat interface, and a feedback panel. Users can start a mock interview by clicking the “Start Mock Interview” button. The Interviewer Agent then asks realistic questions via text or lifelike voice (powered by ElevenLabs). Candidates can respond using text or optional voice input. Their responses are immediately evaluated by the Analyzer Agent, which leverages Mistral AI to deliver detailed feedback — highlighting strengths, weaknesses, improvement tips, and optional performance scores. Behind the scenes, Coral Protocol securely manages communication between all agents. The Master Agent orchestrates the workflow, routing interactions between the Interviewer, Analyzer, and Frontend Agents. Each agent is registered through JSON descriptors and communicates via Coral events, ensuring a scalable, modular design. Beyond just simulating interviews, the platform delivers real-time AI-driven coaching, something traditional mock interviews often fail to offer. Planned future enhancements include session history tracking, multilingual support, audio playback for feedback, and smarter scoring systems. By combining advanced AI analysis, natural voice interaction, and secure agent communication, AI Interview Coach Agent empowers candidates to practice with confidence, refine their performance, and succeed in real-world hiring processes.

Category tags:

"Strong end-to-end design with clear real-world value for job seekers. The multi-agent setup, voice integration, and clean UI make it engaging. While similar solutions already exist in the market, planned features like history tracking can help differentiate it further. Overall, a solid project with good potential. "

avatar

Ravi Theja Desetty

Data Scientist

"Presentation was clear, though showing more of a live practice session would make it even stronger."

avatar

Tingting Lin