Evo-Fit: A Genetic Algorithm–Driven Generative AI Framework for Personalized Wellness and Mental Health Optimization

The increasing burden of lifestyle-related disorders and mental stress demands easily accessible, adaptive digital wellness solutions that are independent of IoT devices or sensor-based monitoring. This work proposes Evo-Fit, a Genetic Algorithm-driven Generative AI framework for personalized design of fitness and nutrition plans, integrated with mental wellness prediction. Evo-Fit adopts a multi-objective GA that optimizes caloric alignment, nutritional balance, user preferences, and feedback-driven evolution. A mental wellness classification model further strengthens the system by predicting potential stress risks with high accuracy.