Virtual Assistant by using Large Language Model

Virtual Assistant by using Large Language Model

Kushal Biswas

School of Science,

G H Raisoni University, Amravati, India

biswaskushal751@gmail.com

Jay Thakare

School of Science,

G H Raisoni University, Amravati, India

thakarejay15@gmail.com

Ritik Lanjekar

School of Science,

G H Raisoni University, Amravati, India

ritiklanjekar484@gmail.com

Rupen Patle

School of Science,

G H Raisoni University, Amravati, India

rupenpatle@gmail.com

Prof. Anshika Gupta

School of Science,

G H Raisoni University, Amravati, India

anshikagupta@gmail.com

Received on: 14 May ,2024          Revised on: 04 June ,2024          Published on: 27 June ,2024

Abstract— This paper presents the development of a virtual assistant named “Pragyan,” utilizing a Large Language Model (LLM) for natural language understanding and response generation. The virtual assistant is designed to interact with users through text and speech inputs, providing informative and conversational responses. Pragyan is built with a frontend user interface, a backend server, and a database for efficient communication and data management. The performance evaluation and result analysis demonstrate the effectiveness and user-friendliness of the virtual assistant

Keywords: Virtual Assistant, Large Language Model, Natural Language Processing, Frontend, Backend, Database, Performance Evaluation, Result Analysis.

DOI Link – https://doi.org/10.69758/SJWU7004

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