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My - Accepted! - Playground for the WWDC21 Swift Student Challenge. Get the best advice on managing your ADHD, depending on your personality. This project is not a medical tool nor medical advice.
Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to describe the human personality and psyche, via descriptors of common language and not on neuropsychological experiments. Used kmeans clustering and feature scaling (min-max normalization).
Here I developed a machine learning model for predicting personality traits. It analyzes personal behavior data and uses algorithms like KNN, Logistic Regression, Decision Tree to classify individuals based on traits. It automates the personality assessment process, providing insights for social media, advertising, and recruitment.
An application that helps one determine their traits based on questionnaires or a brief description of themselves. It is created using Django and React. It uses the sentino API.
Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.