Data analysis and visualisation

The ability to write well is crucial. More and more students who are non-native English speakers are eager to acquire English as their second language as English is starting to replace other languages as the primary language of our international communication in all fields. Due to a lack of experience, these students, who are referred to as English Language Learners (ELLs), find it difficult to improve their English writing abilities. Additionally, present technologies are unable to provide feedback simply based on the student's language proficiency, which could lead to distorted assessments of their current language skill. Without a strong command of the language, students may find it challenging to advance in their careers, particularly when it comes to competing in the international job markets. A student with strong communication and writing abilities will have more employment prospects than others because English is now the language of science, aviation, computers, diplomacy, and tourism. To address this issue, this project aims to develop an automated feedback tool that assesses the language proficiency of English Language Learners (ELLs) between the ages of 13 and 18 using machine learning and natural language processing (NLP) techniques.Bachelor of Engineering (Computer Science