Founder – AI-Based Emotional State and Visual Art Matching Platform
TextEmotion Recognition
Developed MoodToArt, a neuroscience-informed digital platform using AI-based algorithms to match emotional states with visual art pieces. Labeled and validated training data on emotional cues, cognitive states, and corresponding image-visual art pairings. Performed structured experiments for model training and refinement focusing on emotion recognition outputs.• Designed the emotion-art association AI workflow and annotation schema.• Created training and validation sets from user inputs and surveys.• Validated AI-generated outputs against ground truth annotations.• Published the digital platform and integrated user feedback loops for ongoing model improvement.
Developed MoodToArt, a neuroscience-informed digital platform using AI-based algorithms to match emotional states with visual art pieces. Labeled and validated training data on emotional cues, cognitive states, and corresponding image-visual art pairings. Performed structured experiments for model training and refinement focusing on emotion recognition outputs.• Designed the emotion-art association AI workflow and annotation schema.• Created training and validation sets from user inputs and surveys.• Validated AI-generated outputs against ground truth annotations.• Published the digital platform and integrated user feedback loops for ongoing model improvement.
2022 - Present