/Employee-satisfaction

Explainable AI for Predictive Analytics on Employee Satisfaction

Primary LanguageJupyter Notebook

Incorporating an application or web-based platform designed for the assessment of an employee's emotional state and overall job satisfaction, this system features automated form generation capabilities. Central to its functionality is a machine learning model leveraging Support Vector Machine (SVM) techniques, which has consistently demonstrated an impressive accuracy rate of 88% in predicting employee satisfaction with their current occupational status.

In order to bolster transparency and enhance trustworthiness, this system harnesses the power of Explainable Artificial Intelligence (XAI) to interpret and elucidate the predictions generated by the machine learning model.

Furthermore, it is imperative to acknowledge that the intellectual property rights of this project have been duly secured as of the year 2023.

Image:-

EmpSatisfaction Finder_page-0001(1)

Full Certificate link:-
https://drive.google.com/file/d/1I0zFxP9TRW01dALV-0OSL1zxq9Hv98r7/view?usp=sharing

For user usage here is web-app link: https://empsatisfaction.streamlit.app/ (If web-site doesn't open, it means the app is sleeping as it doesn't get any traffic, so click on :- "Yes, get this app back up!" and wait for few mins it will restart the server again)

Video Process:-

Untitled.design.4.1.1.mp4