International Journal of Innovative Research in Computer and Communication Engineering

ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |


TITLE Voice Assistant for Emergency Injury Analysis Using IoT and Machine Learning
ABSTRACT Abstract
AUTHOR DR. SRIDEVI N, NITHIN M KUMAR, SHAILENDRA KUMAR V, SHASHANK C M, DHANUSH D Associate Professor, Dept. of EIE, Dr. Ambedkar Institute of Technology, Karnataka, India Student, Dept. of EIE, Dr. Ambedkar Institute of Technology, Karnataka, India
VOLUME 177
DOI DOI: 10.15680/IJIRCCE.2025.1312084
PDF pdf/84_Voice Assistant for Emergency Injury.pdf
KEYWORDS
References References
image
Copyright © IJIRCCE 2020.All right reserved