MRI
MRI India Journals Vol. 14 No. 1 (2025)

AI-Based Android Keyboard: Auto-Suggestion and Grammar Correction

Authors

  • S.T. Shirkande
  • Shende Harshada Gajanan
  • Shendge Sakshi Shivaji
  • Shikalkar Alisha Usman
  • Shirke Samiksha Rahul

DOI:

https://doi.org/10.65521/ijaece.v14i1.837

Keywords:

Android Keyboard, Auto-suggestions ,Grammar Correction, Natural Language Processing (NLP), Machine Learning (ML), Human–Computer Interaction (HCI), Mobile Application Development, On-device Models, Cloud Integration, Typing Efficiency.

Abstract

The project addresses the limitations of traditional Android keyboards, which often fail to provide accurate context-aware suggestions and grammar correction. It proposes a Java-based Android keyboard application integrated with NLP (Natural Language Processing), machine learning models, and grammar correction tools. The system consists of A customizable keyboard interface (front-end).A suggestion and grammar correction engine (back-end).It provides real-time predictions, spelling corrections, and grammar improvements, with optional cloud integration for scalability. The solution enhances typing accuracy, speed, and communication efficiency.

 

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Published

2025-11-09

How to Cite

Shirkande, S., Gajanan, S. H., Shivaji, S. S., Usman, S. A., & Rahul, S. S. (2025). AI-Based Android Keyboard: Auto-Suggestion and Grammar Correction. International Journal on Advanced Electrical and Computer Engineering, 14(1), 270–272. https://doi.org/10.65521/ijaece.v14i1.837

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