DEVELOPING AN AI MODEL FOR DREAM INTERPRETATION BASED ON SUBCONSCIOUS ANALYSIS

Abstract

Dreams have long intrigued people and often serve as a window into the subconscious. They reflect our thoughts, feelings, and daily experiences, and give us insight into hidden psychological processes. The analysis outlines the significant role of constructing a cognitive model that is meant to make sense of dreams by determining thoughts and patterns that lie under the dreams. This model is based on the principles of psychology and machine learning, in which it tries to classify the content of dreams and recognize emotional content, including happiness, fear, anxiety, and sadness. The final aim is to develop a device that would allow one to get inside the human soul and give users an idea of their dreams. The mentioned approach is expected to assist in improving mental health, boosting self-understanding, and fostering emotional development. The program is more elaborate about the following: the methods, obstacles in development such as limitations of data, the ability to come up with good models, implications of the systems in general, as well as in psychology, medicine and mental health.