Relativ's cutting-edge AI technology supports multilingual participants, providing personalized feedback to enhance their performance in mock interviews. This move is crucial for high school students in under-represented groups, who often face barriers when seeking access to quality education and job training opportunities.
Through this effort, Relativ is already collaborating with several organizations in the AWS Skills to Jobs Tech Alliance to provide mock AI interview practice sessions for technical roles and skills such as cloud support engineering, software development, AI/ML engineering, and more. The initiative's reach spans across Germany, Spain, India, Singapore, Thailand, USA, and other regions.
"We're honored to receive support and guidance from AWS on this critical initiative," said Arjun Nagendran, Co-Founder & CEO of Relativ. "Our AI engine is designed to bridge the gap between education and employment, ensuring that every individual has an equal chance of succeeding in their chosen careers."
"We are proud to support organizations like Relativ that are working tirelessly to advance education equity. Relativ's focus on bespoke AI assistants that offer coaching and prioritize soft-skills in the age of AI are testament to their success in helping individuals become more productive and confident," said Aanya Niaz, Global Leader for Education Equity at Amazon Web Services. "This initiative aligns with our own commitment to providing opportunities for all, and we're excited to see the positive impact it will have on students worldwide."
Relativ's cutting-edge conversational analytics platform, built on AWS, leverages customized AI models to simulate real-world workplace scenarios including technical interviews. This experiential learning enables students to practice and refine their technical and interpersonal skills in a safe, highly scalable virtual training environment, available 24/7, 365, and on-demand. To address concerns about AI misuse, Relativ has numerous safeguards in place, including scenario randomization and AI-generated variation for authentic skill development. Our analytics engine employs multiple measures such as response times and sentence structure, and normalizes results across entire cohorts to detect anomalies and flag suspicious patterns. We also encourage students not to use AI to 'game the system' for personal advantage.
By performing cohort-level analytics, Relativ identifies specific skills gaps and tailors its AI guidance to address them, ensuring that each student receives personalized support to bridge the gap between academic learning and workplace readiness.
For more information about Relativ's AI-driven platform and its mission to transform the future of work, visit our Home Page.
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Source: Relativ.ai, Inc.
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