Authors : Roshini Gudla; Petla Mohit Kumar; Farheen shaik; Anish Varin Pilla

Volume/Issue : Volume 9 - 2024, Issue 2 - February

Google Scholar : http://tinyurl.com/u86fsp7j

Scribd : http://tinyurl.com/2s3mr22r

DOI : https://doi.org/10.5281/zenodo.10669282

Abstract : "M.A.R.F" an advanced AI voice assistant chatbot aimed at increasing productivity for professionals, students, and others dealing with modern time management issues. The study article illustrates Jarvis' solution-oriented design in the setting of rapid technology innovation. It addresses time management complexities strategically through task automation, targeted answers, and seamless integration with a variety of technological platforms. Specific functionality such as Google and YouTube search, music playback, chat capabilities, and information retrieval are listed in the abstract. Its potential societal impact is envisioned as a cornerstone solution for increasing productivity, catering todifferent user segments, and alleviating time- related stress. Jarvis' user-centric benefits are highlighted, emphasizing seamless integration and task automation, promoting it as a bridge between consumers and sophisticated technology. The abstract stresses Jarvis' methodological rigor by proposing accuracy assessment metrics like as precision, recall, and F1-score, which focus thorough evaluation of its prediction accuracy and adaptability. The abstract effectively conforms with scientific standards, clearly communicating objectives, methodology, and predicted effects while displaying scholarly rigor in a way that resonates with the scientific reviewer. The project was built in Python using the pptx3 and pywhatkitlibraries.

Keywords : Natural Language Generation, Conversational AI, Natural Language Generation.