Enhancing The Typing Console Using Python & AI(LLM

Author(s)	Parag Singh, Pinky Yadav
Country	India
Abstract	This paper presents a novel approach to augmenting traditional typing consoles with Artificial Intelligence (AI) and Python-based programming. The integration of Large Language Models (LLMs) aims to address common typing challenges such as speed, accuracy, and contextual relevance. By offering predictive text, grammatical corrections, and user-centered feedback in real-time, the enhanced typing console improves the overall typing experience. This research employs a mixed methods approach combining quantitative typing metrics and qualitative user feedback. Experimental results demonstrate notable improvements in typing speed and accuracy, along with increased user satisfaction. The findings suggest significant potential for AI-enhanced typing applications across education, accessibility, and productivity tools.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-24
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.45879
Short DOI	https://doi.org/g9mn4f

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International Journal For Multidisciplinary Research