SCENTinel: Climate Changes and Scent Heritage: The Urgent Need for Capturing and Preserving Olfactory Landscapes in a Changing World

The project aims to develop AI/ML models and a theoretical framework to identify and record culturally significant and climate-endangered scents, utilizing internet data for scent valuation. It focuses on creating advanced methods for scent recording and reproduction, including AI/ML models for suggesting adsorbent mixtures and chemical compounds, aiming for high accuracy in replicating natural scents. Additionally, the project will establish a decentralized database to store scent information, governed by DAO models, and engage the public in preserving endangered scents through educational and community-building activities.