Work

Smart Interview Evaluator using NLP and Speech Recognition

Year: 2025

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17528656

Authors: Karthiban R, Mohithra S, Shakthi S, Thiruselvam S

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7104041636

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