I try to update this tool every day with my mood. I update it by assigning a value 0-100 to my mood. 0 bad 100 good.

Plotting each of these mood points against time renders an image of your emotions over time. This reveals trends and provide accurate historical context into your emotional state at a glance.

The difficulty of assigning an number to your mood is intentional. By presenting mood -- which is universally perceived as subjective -- via the objective (a number value), the space between subjective and objective becomes exaggerated. The result is uncanny - my emotional state is communicated through a graph's peaks and valleys on two axes. This method aims to raise questions for the audience - how are these values quantified? Am I a reliable narrator? How else does false objectivity impact the stories we tell ourselves and others, and how does that frame our perspective?

Over time, the unique identifiers that that those in power have used to define us, the people, have become increasingly obfuscated from human recognition. Names mean something to us, email addresses might mean less. uuids and more recently layers in an LLM, give more insight into a person and their person-hood to a tech company. This project presents a lower-tech, higher accuracy model of displaying an icon of a human with data.

Further -- despite the data being stored and distributed through communication streams between computer systems (a frontend, an API, a database) the meaning that the data creates stays obfuscated from the computer. For example - what do you think "feeling 56/100" means to a computer, versus what does it mean to you? Meaning can only be derived from this graph using empathy. Empathy is how we control the computer systems - instead of being controlled by them.

This project archives my mood and lets my friends know how I'm doing.