Authors - Riddhi Sonawane, Ganesh Bhutkar, Swarup Vishwas, Vivek Badade, Akshay Shingote Abstract - Traditional persona classification methods rely on static, time consuming techniques like surveys and interviews. To address this limitation, we propose F², a novel approach that leverages facial recognition and digital footprint analysis for dynamic persona classification. By integrating real-time data from various digital platforms, F² creates more accurate and up-to-date user profiles. Our system prioritizes user privacy and adheres to relevant data protection regulations. Through robust facial recognition and advanced machine learning algorithms, F² effectively categorizes users into distinct personas, enabling tailored experiences and personalized interactions. This innovative approach has the potential to revolutionize user modeling and enhance digital experiences across diverse domains.
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