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AI-Driven student interview solution for Private University

AI-Driven student interview solution for private University

ABOUT THE CLIENT

university logo
Private University is a widely-recognised private university located in the EU, with over 15,000 students across its undergraduate and postgraduate programs. The university is known for its strong emphasis on innovation, digital transformation, and international student diversity.

Business Challenge

Private University’s admissions process was burdened by a time-consuming and inconsistent interview process. Conducting interviews manually not only delayed decision-making but also increased operational costs during peak application periods. Staff faced challenges in managing the growing volume of interviews while ensuring a fair and uniform assessment for each applicant.

Solution

RichBrains implemented an advanced AI-powered interview platform designed specifically for Private University.  The platform included several key features that streamlined the entire interview process:
Automated Scheduling

Automated scheduling

The platform automatically managed the scheduling of interviews, reducing the manual effort required from staff.
AI-Powered Interviews

AI-powered interviews

The platform conducted interviews, ensuring consistency in the questions asked and the responses evaluated.
Real-Time Evaluations

Real-time evaluations

Amazon Kendra was integrated to enhance the evaluation process, providing instant access to relevant knowledge and enabling real-time assessment of candidate responses.
24/7 Availability

24/7 availability

The platform operated around the clock, allowing candidates from different time zones to participate in interviews at their convenience.
Scalability

Scalability

The platform could scale to handle hundreds of interviews simultaneously, especially during peak application periods.

Technology

Using AWS Bedrock, RichBrains was able to integrate high-performance foundational models that powered the platform’s ability to handle interviews at scale.

AWS Bedrock facilitated the deployment of generative AI models to manage interviews simultaneously, while Amazon Kendra provided a smart knowledge retrieval system that helped streamline evaluation criteria. This allowed for real-time insights and decisions, ensuring all applicants received equal attention.
Amazon Bedrock
AWS Kendra

Results

The university saw a noticeable improvement in the efficiency of its interview process. What used to take weeks could now be done in days, with a much smoother flow from application to decision. The platform enabled the admissions team to handle a high volume of interviews during busy periods without overwhelming staff. Additionally, applicants reported a better experience due to the flexibility of scheduling interviews at their convenience, no matter where they were located.

Contact us for a non-commitment discovery call to unlock your project's potential.

Our team is committed to actively contributing to your project's success. We'll delve deep into your challenges and opportunities, offering our expertise every step of the way.
Expect a tailored proposal designed to address your specific needs. Whether it's improving existing systems or building from scratch, count on us to be your reliable partner on the journey to success.
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