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Lightscreen

Lightscreen

AI-powered platform for authentic tech interviews and cheating detection.

AI interviewsCheating detectionTechnical screening
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Introduction

Lightscreen is an AI-powered coding interview platform designed to detect cheating and evaluate technical skills accurately. It utilizes an AI voice agent to create dynamic, engaging interview experiences, ensuring candidates are assessed on genuine abilities rather than rote memorization or outside assistance.

What stands out?

AI-powered dynamic coding interviews
Cheating detection using advanced AI models
Customizable assessments tailored to specific roles
Real-time feedback with video, transcript, and coding analytics

Frequently Asked Questions

What is Lightscreen?

Lightscreen is an AI-powered coding interview platform designed to detect cheating and evaluate technical skills accurately. It utilizes an AI voice agent to create dynamic, engaging interview experiences, ensuring candidates are assessed on genuine abilities rather than rote memorization or outside assistance.

How to use Lightscreen?

To use Lightscreen, log in to the platform, book a demo or start an interview, and interact with the AI interviewer to assess candidates' coding skills dynamically.

How does Lightscreen detect cheating?

Lightscreen employs industry-standard cheating and plagiarism detection techniques combined with AI models that analyze behavioral patterns associated with cheating.

What is the average candidate satisfaction score?

Lightscreen boasts an average customer satisfaction score of over 80% based on candidate feedback.

Can Lightscreen's assessments be customized?

Yes, Lightscreen offers fully customizable assessments tailored to the specific needs of your hiring process.

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Use Cases

  • Screen software engineering candidates for genuine coding skills in tech interviews.
  • Improve the hiring process by reducing response times and enhancing candidate engagement.

How to Use

To use Lightscreen, log in to the platform, book a demo or start an interview, and interact with the AI interviewer to assess candidates' coding skills dynamically.