Smart Interview Evaluator using NLP and Speech Recognition

In order to improve interaction and automate assessment, this paper presents an intelligent web-based learning platform that combines natural language processing and machine learning. The system supports speech-to-text processing, grammatical analysis, and real-time question generation by integrating a Node.js framework with a Python machine learning backend. AI-powered interview simulations and automated report production are made possible by it, offering individualised and flexible learning opportunities. The platform illustrates the promise of AI-powered systems in contemporary e-learning and digital evaluation contexts by decreasing manual assessment efforts and enhancing language precision.