[Example] Emotion Analysis in a Remote Work Environment

The required period is 8 months! Using machine learning, we will build a model and calculate accuracy with test data!

We would like to introduce a case study on emotion analysis in a remote work environment. In response to the challenge of wanting to diagnose employees' mental health through voice and images in a remote work setting, we used numerical data obtained from an emotion estimation engine to detect differences from a normal state using a machine learning model. We created a difference detection tool in Python that executes everything from preprocessing to model creation and accuracy calculation in one go. 【Case Overview】 ■ Challenge: To diagnose employees' mental health through voice and images in a remote work environment. ■ Tasks: - Use numerical data obtained from the emotion estimation engine to detect differences from a normal state using a machine learning model. - Create a difference detection tool in Python that executes everything from preprocessing to model creation and accuracy calculation in one go. *For more details, please refer to the PDF document or feel free to contact us.

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