Interview Insight Using Artificial Intelligence

The interview process is a critical component of recruitment; however, it is often affected by human bias, subjectivity, and time limitations. This project presents an Artificial Intelligence– based interview insights system that automates the analysis and evaluation of candidate interviews. The proposed system utilizes Machine Learning (ML), Natural Language Processing (NLP), sentiment analysis, and speech and facial expression analysis to assess candidates’ communication skills, emotional state, confidence level, and behavioral patterns. Audio, video, and textual interview data are processed to extract meaningful features and generate objective performance scores. By providing data-driven insights, the system assists recruiters in making fair and consistent hiring decisions while improving efficiency and scalability. This AI-driven approach enhances transparency in recruitment and supports modern, technology-enabled human resource management.