Abstract:
We have developed a web based deep learning system called InterVisio , designed to streamline the hiring and interview process. In this system, Employees can create an account and upload their resumes, while Employers can directly post jobs without needing to create a profile. Once a resume is uploaded, the system analyzes the skills mentioned and recommends suitable job listings to the employee.
Employees can either save a job for later or start an interview instantly. When an interview begins, our system uses the Mistral API to generate relevant questions based on the job role. During the interview, the system actively monitors the candidate using a YOLOV8 model to ensure focus and detect any unusual behavior.
The interview consists of 10 questions, after which the session ends. Based on the candidate’s answers and behavior, the system automatically evaluates their performance and informs them whether they have passed or not. This approach provides a smart, automated, and efficient interview experience for both job seekers and employers.
