Electroencephalography (EEG) plays a pivotal role as a non-invasive method for measuring brain activity, offering insights into cognitive processes such as perception, attention, and memory. Its significance lies in its ability to capture real-time neural dynamics with high temporal resolution, making it particularly valuable for studying the complexities of sensory perception, including olfaction. The human olfactory system is crucial for the sense of smell; understanding how the brain processes olfactory stimuli is complex due to the diverse nature of odor molecules and individual variability in perception. This work presents a novel pipeline for encoding unique digital representations of odors. These techniques uncover unique odor representations, providing valuable insights into the intricacies of neural processing. These representations, embedded in matrices, have applications in healthcare, multi-sensory immersion, and e-commerce. The work explores comprehension of human cognition, while its practical implications underscore its relevance across diverse domains.