AI-driven web application for enhanced vocabulary language learning

Ler, Mei Xuan (2024) AI-driven web application for enhanced vocabulary language learning. Final Year Project, UTAR.

Preview

PDF Download (3829Kb) | Preview

Abstract

In an increasingly connected world, language proficiency is more than a skill; it's a gateway to global communication and cultural exchange. Yet, traditional and many digital language learning platforms fail to fully address the individual needs and engagement levels of users, particularly when it comes to practical language application. This project introduces a revolutionary AI-Driven Language Learning Vocabulary Web Application, designed to make language acquisition a personalized, intuitive, and interactive experience for users of all backgrounds. Utilizing the advanced capabilities of OpenAI's GPT-4 for natural language processing, coupled with innovative technologies like the Google Web Speech Application Programming Interface (API) for voice recognition and interaction, as well as image recognition functionalities, the application offers a multifaceted approach to learning. It is aimed at helping users not just to memorize vocabulary but to effectively integrate new words into their everyday language use through a responsive AI chatbot. This user-friendly platform supports learning across various devices, promoting consistent practice, immediate application, and ultimately, fluency in the target language. By bridging the gap between memorization and practical usage, this project sets a new standard for digital language learning tools, catering to the modern learner's need for an engaging, accessible, and efficient way to learn new languages.

Actions (login required)