Language Meets Logic: Enhancing Engineering Innovation Through Communication

Abstract

Good communication in English plays a major role in both academic success and career growth. However, many students find it difficult to improve their spoken English, pronunciation, and interview skills because they don’t get enough chances to practice or receive personal feedback in real-life situations. To address this problem, this work introduces an AI-based system designed to support English speaking assessment and interview preparation. The system provides real-time feedback using technologies like speech recognition and natural language processing, helping users understand their mistakes instantly.It evaluates important aspects such as grammar, fluency, vocabulary usage, clarity of pronunciation, and how relevant the responses are. In addition, it includes a mock interview feature where users can practice with role-based questions in a simulated interview environment created by an AI interviewer.The system also tracks user progress through a dashboard, allowing learners to see their improvement over time. Based on experimental observations, the system helps users build confidence in speaking, improve pronunciation accuracy, and perform better in interviews. Overall, this solution offers a practical and scalable way to support English language learning and prepare individuals for real-world communication and career opportunities