Muhamad Jikril Aryanda, Erick Andika

Pengembangan Aplikasi Percakapan Suara Secara Real-Time untuk Simulasi Wawancara Kerja Berbasis Kecerdasan Buatan

Introduction

Pengembangan aplikasi percakapan suara secara real-time untuk simulasi wawancara kerja berbasis kecerdasan buatan. Kembangkan skill wawancara kerja Anda! Aplikasi percakapan suara real-time berbasis AI ini simulasikan wawancara menggunakan speech recognition, NLP, & TTS untuk pengalaman realistis.

Abstract

Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) telah menghadirkan peluang baru dalam membangun aplikasi interaktif yang dapat mendukung berbagai kebutuhan manusia. Salah satu penerapannya adalah pada simulasi wawancara kerja, di mana calon pelamar dapat berlatih berkomunikasi secara langsung dengan sistem yang mampu merespon suara pengguna secara real-time. Tugas akhir ini bertujuan untuk merancang dan mengembangkan aplikasi percakapan suara berbasis web yang memanfaatkan teknologi speech recognition, natural language processing (NLP), dan text-to-speech (TTS) untuk menghadirkan pengalaman wawancara yang lebih realistis. Implementasi sistem dilakukan dengan mengintegrasikan teknologi WebRTC sebagai media komunikasi suara real-time serta model AI untuk memahami pertanyaan dan memberikan respon secara cepat dan kontekstual. Hasil pengujian menunjukkan bahwa aplikasi mampu memberikan respon dengan tingkat latensi rendah dan akurasi pengenalan suara yang cukup baik dalam skenario wawancara kerja. Dengan adanya aplikasi ini, pengguna diharapkan dapat meningkatkan kemampuan komunikasi, mengasah keterampilan menjawab pertanyaan, serta memperoleh pengalaman simulasi wawancara yang lebih efektif dan efisien sebelum menghadapi wawancara kerja sesungguhnya.

Review

This paper presents a timely and relevant endeavor in leveraging Artificial Intelligence to address a practical human need: preparing for job interviews. The core objective of developing a real-time, AI-powered voice conversation application for job interview simulation is clearly articulated, promising to enhance candidates' communication skills and confidence. The abstract effectively highlights the potential of AI advancements, particularly in natural language processing and speech technologies, to create interactive training environments that mimic real-world scenarios, thereby offering a valuable tool for career development and skill refinement. The technical approach outlined for this web-based application is comprehensive, integrating several key technologies to achieve its real-time interactive capabilities. The use of speech recognition for input, natural language processing (NLP) for contextual understanding, and text-to-speech (TTS) for natural responses demonstrates a robust framework for a conversational AI system. Furthermore, the integration of WebRTC is a critical choice, ensuring low-latency, real-time voice communication, which is paramount for a truly immersive and realistic interview simulation experience. The reliance on AI models for intelligent question comprehension and contextual response generation is central to the application's effectiveness. The stated results, indicating low latency and good voice recognition accuracy within interview scenarios, are encouraging and suggest that the developed application achieves its primary technical goals. These performance metrics are crucial for user acceptance and the overall effectiveness of the simulation. The anticipated impact, enabling users to improve communication, refine answering techniques, and gain efficient pre-interview experience, underscores the practical utility and positive contribution of this work. This development holds significant promise for democratizing access to interview coaching and providing a scalable solution for self-paced professional development.

Full Text

Comments

You need to be logged in to post a comment.