[https://docs.google.com/presentation/d/1IO3zKVaAK6hGjOqbLOnizeopNVO7-5p16PrVKfkFfcM/edit?usp=sharing](https://docs.google.com/presentation/d/1IO3zKVaAK6hGjOqbLOnizeopNVO7-5p16PrVKfkFfcM/preview?usp=sharing)
Memories are fragile. We store them away, these special moments, like precious gems in a vault. But memories fade. They blur at the edges, colors bleeding into one another until we're not quite sure what was real and what we've reimagined. Humans have always tried to capture life. Cave paintings, journals, photographs - all attempts to freeze time, to hold onto something that's slipping away. Now we're all auteurs, armed with smartphones and filters, curating our lives for the world to see. Yet we still yearn for more. Snapshots and filtered images can't capture the full richness of experience. Iris is a wearable that takes a picture every minute. It captures the little moments we usually let slip away, revealing patterns we never noticed.
Iris takes pictures every minute and displays them in a gallery with a timeline view. There's an AI that helps answer questions about information Iris has collected over time. This can help you remember things you might have forgotten. Iris also has a focus mode where you can input a goal, and it will send you a notification if it sees you doing something else. For example, if you're supposed to be reading but Iris notices you're distracted instead, it'll remind you to get back on task. This helps you stay productive and focused on what you want to accomplish.
The idea of lifelogging isn't new, and a few companies have tried this before:
A common challenge for these attempts was data management. They collected vast amounts of information without effective means for users to process it. Modern AI technology (VLM based) now offer better solutions for categorizing and converting images into coherent narratives.
