Painted Sentience

This photo series is part of an ongoing research project that explores how human emotions can be translated into visual art using AI. The system begins by detecting emotions from either text or audio using an emotion classification model. Based on the identified emotion, an open-source language model generates landscape-inspired visual descriptions. From these descriptions, the system deduces likely color palettes, shapes, and compositional patterns associated with such environments and emotions. These visual cues are then artistically embedded onto human faces through AI-powered image generation, blending abstract patterns with portraiture. Each image in the series embodies a specific emotion—such as fear, serenity, euphoria, etc—through expressive facial designs, flowing painted motifs, and emotionally aligned color harmonies. While this explanation offers a simplified overview, the full AI pipeline involves a deeper integration of computational and generative techniques, which will be documented in a forthcoming technical research paper. The goal of this work is to promote social good through applications in art therapy, mental health, and emotional storytelling. Photo 1 denotes the emotion euphoria, Photo 2 denotes the emotion curiosity, Photo 3 denotes the emotion fear, Photo 4 denotes the emotion wonder, Photo 5 denotes the emotion melancholy, and Photo 6 denotes the emotion serenity.