Interview Bot Using Natural Language Processing and Machine Learning

In order to optimize the hiring process for organizations, this research article suggests using a system based on machine learning and natural language processing. The interview bot revolutionizes the recruitment process by using a combination of machine learning algorithms, natural language processing techniques and automated interview processes to streamline candidate selection. The bot can conduct multiple interviews simultaneously while capturing facial expressions and speech patterns of the candidates while their responses are compared against a diversified question bank made by training learning algorithms. A unique scoring mechanism is employed to evaluate the alignment with expected answers. The automated nature of the bot ensures consistent and standardized interview procedures, resulting in fair evaluations across all candidates. The interview bot's efficiency not only results in substantial time savings but also leads to a reduction in the financial resources typically expended on lengthy interview procedures, enabling the acquisition of toptier personnel.