Name	How Normal Am I?
Overview	How Normal Am I? is an interactive, privacy-friendly AI art project by Tijmen Schep, supported by the European Union’s SHERPA project. It uses open-source machine learning models to analyze your face through your webcam without sending any personal data to servers. Participants experience how algorithms predict beauty, age, BMI, gender, life expectancy, and emotions. The experience emphasizes how “normalcy” and judgment are influenced by flawed AI models, exposing the biases behind seemingly objective systems. Everything runs directly in your browser, ensuring a safe and anonymous interaction.
Key features & benefits	No Data Collection: All processing happens locally in your browser, no personal data is sent anywhere. Beauty & Age Prediction: See how AI rates your attractiveness and guesses your age. BMI Estimation: Predicts body mass index from facial features. Gender and Emotion Recognition: Analyzes your dominant expression and gender appearance. Privacy First: Completely anonymous; optional sharing of anonymized data. Awareness Raising: Exposes bias and ethical concerns in AI systems. Accessible: Easy to use through any browser (Safari required for iPhone/iPad).
Use cases and applications	Educational workshops on AI ethics Raising public awareness about algorithmic bias Art exhibitions focusing on digital identity Interactive talks or debates on machine learning and privacy Personal experimentation to understand how machines “judge” faces
Who uses?	Students and educators in AI ethics Artists and digital creatives Privacy and data rights activists General public curious about AI and fairness Policy makers and researchers in digital ethics
Pricing	100% Free (non-commercial, funded by EU SHERPA project)
Tags	AI art, face recognition, digital ethics, privacy, algorithmic bias, interactive project, AI bias education
App available?	No standalone app. Only available as a browser-based experience (requires camera access).

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