MACHINE LEARNING DEFENCE: STRESS DETECTION IN EMPLOYEES USING DEEP LEARNING

D.Himagiri , Sreyas Gangji ,Akarapu Chaitanya  and Dasharadhi Harshavardhan

Paper ID: EIJTEM_2023_10_3_8-14

Author's Name: D.Himagiri , Sreyas Gangji ,Akarapu Chaitanya and Dasharadhi Harshavardhan

Volume: 10

Issue: 3

Year: 2023

Page No: 8-14

Abstract:

Our project aims to utilize advanced Using machine learning and image processing methods for stress detection in employees. Unlike Earlier stress detection systems did not provide real-time detection and individualized counselling., our system includes both, and regularly analyses employees to identify their levels of physical and mental stress. The system provides proper remedies for stress management and periodically distributes survey forms to employees. The main objective of our system is to promote a healthy and positive working environment, enabling employees to performtheir best during working hours. Our system is designed to be user-friendly, easily understandable, and incorporates classic Machine Learning algorithm.

Keywords:

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Standard APA style format.

D.Himagiri , Sreyas Gangji ,Akarapu Chaitanya  and Dasharadhi Harshavardhan (2023). MACHINE LEARNING DEFENCE: STRESS DETECTION IN EMPLOYEES USING DEEP LEARNING. Excel International Journal of Technology, Engineering and Management, 10(3), 8-14. Retrieved from https://exceljournals.org.in/detail.php?id=627

Best for LaTeX documents.

@article{MACHINELE_2023,
  author    = {{D.Himagiri , Sreyas Gangji ,Akarapu Chaitanya  and Dasharadhi Harshavardhan}},
  title     = {{MACHINE LEARNING DEFENCE: STRESS DETECTION IN EMPLOYEES USING DEEP LEARNING}},
  journal   = {Excel International Journal of Technology, Engineering and Management},
  volume    = 10,
  number    = 3,
  pages     = {8-14},
  year      = 2023,
  url       = {https://exceljournals.org.in/detail.php?id=627},
}

Supported by EndNote, Mendeley, Zotero.

TY  - JOUR
AU  - D.Himagiri , Sreyas Gangji ,Akarapu Chaitanya  and Dasharadhi Harshavardhan
TI  - MACHINE LEARNING DEFENCE: STRESS DETECTION IN EMPLOYEES USING DEEP LEARNING
JO  - Excel International Journal of Technology, Engineering and Management
VL  - 10
IS  - 3
SP  - 8
EP  - 14
PY  - 2023
UR  - https://exceljournals.org.in/detail.php?id=627
ER  -

Specific format for RefWorks manager.

RT Journal Article
A1 D.Himagiri , Sreyas Gangji ,Akarapu Chaitanya  and Dasharadhi Harshavardhan
T1 MACHINE LEARNING DEFENCE: STRESS DETECTION IN EMPLOYEES USING DEEP LEARNING
JF Excel International Journal of Technology, Engineering and Management
VO 10
IS 3
SP 8
EP 14
YR 2023
LK https://exceljournals.org.in/detail.php?id=627

Excel International Journal of Technology, Engineering & Management

2.5

8.8

MACHINE LEARNING DEFENCE: STRESS DETECTION IN EMPLOYEES USING DEEP LEARNING