OVERVIEW
The Conversational Interview Questions Simulator is designed to prepare job seekers for the nuanced dynamics of actual job interviews through an AI-driven conversational interface. This simulator focuses on facilitating realistic and flowing dialogue, enabling users to practice responding naturally and effectively in a job interview setting. By mimicking various interviewer styles and question complexities, the simulator provides a rich, interactive environment for users to hone their conversational skills and strategies.

AIM(S)
The primary goal of the Conversational Interview Questions Simulator is to equip job seekers with the skills and confidence necessary to excel in job interviews. The project aims to reduce interview anxiety, improve communication skills, and enhance users' ability to respond to a wide range of interview questions effectively.

INDICATIVE TECHNOLOGIES Technologies
The simulator will integrate Artificial Intelligence (AI), specifically employing natural language processing (NLP) and machine learning (ML) to analyse responses and drive dynamic conversations. Speech recognition technology will allow the simulator to process verbal responses from users, adapting the flow of conversation based on their answers. The system will also utilise sentiment analysis to evaluate the tone and emotional content of the user's speech, adjusting the interviewer's approach accordingly.

INDICATIVE OUTPUTS
The simulator will integrate Artificial Intelligence (AI), specifically employing natural language processing (NLP) and machine learning (ML) to analyse responses and drive dynamic conversations. Speech recognition technology will allow the simulator to process verbal responses from users, adapting the flow of conversation based on their answers. The system will also utilise sentiment analysis to evaluate the tone and emotional content of the user's speech, adjusting the interviewer's approach accordingly.

PROJECT DESIGNATOR
Dr Charles Clarke

ORGANISATION
CSE Connect