Machine Learning-Enabled Virtual Hiring Assistant Powered by Unigram Tokenization and Sentiment Analysis

The interview bot is an innovative solution that leverages speech recognition, machine learning (ML), and natural language processing (NLP) to automate and enhance the interview process. It evaluates candidate responses by computing similarity scores through soft cosine similarity, comparing the candidate's answers with previously collected ideal responses. To improve the accuracy of the evaluation, the bot employs preprocessing techniques such as stop-word removal and tokenization. This allows for a more efficient and consistent evaluation, providing recruiters with valuable insights into candidate performance while also offering a seamless and interactive experience for candidates. By automating the preliminary screening process, the interview bot significantly reduces the time and effort required by recruiters, allowing them to focus on more critical tasks. The use of speech recognition fosters a more natural, interactive interview environment that aligns with candidates' communication preferences. The bot's use of advanced ML and NLP algorithms ensures fair and unbiased evaluations, offering recruiters reliable data for decision-making. Ultimately, the interview bot transforms the traditional interview process by making it more efficient, transparent, and data-driven, enabling organizations to make better-informed hiring decisions and uncover top talent more effectively.