Job Inter-Sim App -- Team 74, 7G

What our project does

Job InterSim, our Job Interview Simulation Application, stands out with a dynamic tech stack. The frontend, powered by Next.js, offers a seamless user experience, while the backend, crafted with Python Flask, handles data processing and communication. Integration with Google Bard API enhances the simulation, providing tailored interview questions and insightful feedback. This combination of Next.js, Flask, and Google Bard API fuels Job InterSim's mission to revolutionize interview preparation for computer science majors and university students alike.

Motivations behind the project

Job interviews are something we all dread. As a computing major myself, having to tackle technical interviews and scenario based questions are nerve-wrecking, especially since it is difficult to get more practice without going for more interviews. Hence, our platform is designed to help job hunters by simulating a job interview for the target role!

Features

1. Pre-Interview Form: Our platform starts off with a pre-interview form. Before being able to give interview questions, we need to first know more information about the job hunter and the job itself. Details such as the job description, user's skills and even the link to the user's resume & cover letter can be included in the pre-interview form. Once submitted, our platform leverages on Google Bard API to generate a set of interview questions that are well curated and relevant to the role that the user is applying for.

2. Mock Interview Form: Once the questions are retrieved, the user will be able to fill up his/her responses to the questions in the text boxes provided. Once this form is submitted, our platform leverages on Google Bard API once again to generate feedback for the interview based on the responses provided by the user

3. Feedback page: This page will show comprehensive feedback information to the user based on the responses of the interview submitted earlier, covering the good and areas of improvement for the responses.

What is next

Allowing for audio/video inputs for the interview so that body language and delivery and be assessed for feedback as well
Login Page, Account Creation and saving of past history responses so that users can login to their own account to view the record of their past mock interviews and respective feedback, so that they can improve better.