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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM58088

Artificial Understanding and Response Assistant

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM58088

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58088

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AM

Aasawari Mahurkar

TK

Tanvi Khool

VW

Vaishnavi Wadkar

CV

Chinmayi Vyalij

PAAC

Prof. A. A. Chandorkar

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Abstract

In today’s fast-paced world, emotional well-being has become a crucial aspect of human life. Many individuals experience stress, loneliness, and anxiety but lack immediate access to emotional support. AURA is an AI-driven emotional support chatbot designed to provide personalized, 24/7 emotional guidance through intelligent interaction. By analyzing user inputs and detecting emotional states, the chatbot responds empatheti- cally and provides suitable coping mechanisms such as soothing music, mini-games, hypothetical relatable stories, and counselor video suggestions. Powered by the LLAMA 3 model deployed via Groq API inference for high-speed response generation, and integrated with Streamlit for an interactive interface, AURA simulates genuine, voice-enabled human-like conversations. The system ensures privacy by storing only login details in the backend, while session data is maintained using Streamlit’s session state. AURA aims to serve as a comforting companion for users during emotionally challenging times.

KEYWORDS

Emotional Support Chatbot Groq API LLAMA 3 Streamlit Sentiment Detection Mental Health AI Companion Emotion Recognition Human–Computer Interac- tion..

Cite This Article

Aasawari Mahurkar, Tanvi Khool, Vaishnavi Wadkar, Chinmayi Vyalij, Prof. A. A. Chandorkar, "Artificial Understanding and Response Assistant," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM58088

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Publication Date

3/23/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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