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URL: https://github.com/topics/personality-assessment

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personality-assessment

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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.

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Built dual app versions using C#, .NET Core, and AWS for card-based personality assessments with RevenueCat APIs, achieving 95% accuracy and boosting engagement. Added social modules via Angular.js and Firebase, with Power BI and Grafana dashboards for insights, following Agile and rigorous unit testing practices.

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