Automated AI Interviewer

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  User Interface

Inspiration

• Interview preparation is often stressful and repetitive. Many candidates struggle to get honest feedback or simulate a real interview environment. We wanted to build an AI-powered interviewer that helps users practice real-time interviews, receive objective feedback, and track their improvement — all without needing another person’s time.

What It Does

• Automated AI Interviewer conducts mock interviews through text or voice (voice-to-voice). It generates relevant questions, listens to answers, and provides instant insights on:

  • Communication clarity and confidence
  • Content relevance
  • Sentiment and tone of responses

• The AI adapts follow-up questions based on user performance, creating a dynamic and realistic interview experience.

Challenges We Ran Into

• Ensuring question relevance across multiple topics.
• Maintaining a natural conversation flow between user and AI.
• Handling speech-to-text accuracy issues in noisy environments.

Accomplishments We’re Proud Of

• Created a functional AI interviewer that adapts its questioning style based on user answers.
• Designed a feedback system that evaluates both technical and communication aspects.
• Built a working prototype within the hackathon timeline.

What We Learned

• Integrating NLP, speech-to-text and text-to-speech models into an interactive app.
• Designing feedback that feels constructive rather than robotic.
• The importance of clear, concise UI for smooth user engagement.
• How to manage real-time communication between multiple components.

Built With

• css
• google-web-speech-api
• html
• javascript
• promptapi
• web