The purpose of this project is to address the escalating concerns over energy consumption, particularly in HVAC systems, within the context of a world marked by continuous development and population growth. By collecting and analyzing temperature and light intensity data, the system aims to dynamically adjust window tint percentages, contributing to energy efficiency and a more sustainable lifestyle. As for the stretch goals, the project envisions implementing presence detection at each window to increase transparency when someone approaches to look outside. Artificial Intelligence is proposed to adapt the system's automation based on user activity and preferences, adding a layer of sophistication to the overall user experience. Ultimately, the project seeks to offer a holistic solution that not only addresses energy challenges but also aligns with the growing trend of smart home technology.

The primary goals of this project are to offer the satisfaction and convenience of an automated window tinting system, including the maintenance of a desired indoor temperature and light intensity, as well as to save the user money on electricity costs associated with indoor cooling. This will be done by integrating the existing technology of smart glass with a uniquely designed control system. Our control system will be implemented in a building - a model house for the scope of this project, and it shall adjust the tint percentage of windows based on indoor temperature and sunlight intensity shining on the building’s windows. The advantage of this system over a static tinting system is its ability to adapt to changing conditions and maximize outdoor visibility when tinting is not appropriate for the current conditions.On the software side of this project, there is an essential goal to design a mobile application that allows users to manually control the tinting system and customize functionality to their liking.