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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

AI-driven English language learning: Leveraging applications/APIs for dynamic content and feedback

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  • AI-driven English language learning: Leveraging applications/APIs for dynamic content and feedback

Harsh Tiwari *, Shrut Jain, Shubham Kumar, Varun Soni and Aradhana Negi

Department of Computer Science and Engineering, Prestige Institute of Engineering Management and Research, Indore, India.
 
Research Article
World Journal of Advanced Research and Reviews, 2024, 22(03), 1611-1616
Article DOI: 10.30574/wjarr.2024.22.3.1882
DOI url: https://doi.org/10.30574/wjarr.2024.22.3.1882
 
Received on 09 May 2024; revised on 23 June 2024; accepted on 25 June 2024
 
In our interconnected world, language proficiency is crucial for communication and cultural exchange. Digital tools like Duolingo and Babbel have revolutionized language learning. This paper introduces Fluency Mentor, an AI-driven application using the Generative AI Technologies Like ChatGPT & Gemini API to offer personalized lessons, interactive exercises, and instant feedback, fostering a supportive community for continuous improvement and global engagement. Going beyond standard memorization, this method focuses on genuine future-speaking ability with real-life conversation practice driven by AI. Additionally, Fluency Mentor uses Natural Language Processing (NLP) to personalize content and feedback based on the user to ensure great learning experience thus helping our users learn faster.
 
AI-driven language learning; Dynamic content; English language teaching/proficiency; Feedback mechanisms; Language acquisition; Natural language processing (NLP)
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-1882.pdf

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Harsh Tiwari, Shrut Jain, Shubham Kumar, Varun Soni and Aradhana Negi. AI-driven English language learning: Leveraging applications/APIs for dynamic content and feedback. World Journal of Advanced Research and Reviews, 2024, 22(3), 1611-1616. Article DOI: https://doi.org/10.30574/wjarr.2024.22.3.1882

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