Olfactory Emotion Mapping

This project integrates chemical structures of odor molecules with human perception ratings to study what makes odors pleasant or intense. It cleans and merges multiple datasets, applies PCA to chemical descriptors, performs exploratory data analysis, and builds regression models linking molecular features and participant demographics to odor perception.

By combining molecular odor properties with human behavioral responses, this project creates a deeper, more human-centered way to detect and understand health conditions. This dual analysis goes beyond smell alone and provides richer insights into neurological, emotional, and physiological health. It can help:

• Early Detection of Neurological Disorders
• Monitoring Mental Health States
• Personalized Aromatherapy Treatments
• Smart Homes & Ambient Experience Design
• Environmental Monitoring & Safety
• Virtual Reality & Gaming