THYMIAN

Demo

About

The problem it solves Various people use perfume for many reasons. Perfumes these days can express various things beyond stylish purposes. For example, for someone, a smell can be a reunion with a parent you miss, or an encounter with a loved one. By using "THYMIAN" people can create their own scent with story and register it on the IP. Beyond simply registering scent as IP on the blockchain, it might be a place to store memories for someone or courage to overcome the difficult reality. With our AI-agent "Thyme" user can create thier own scents. They can use it for thier own or sell it by registering on marketplace, or can add their own scent to various products through collaboration with other users!! Instead of just looking at the price of perfume, feel the story of the creator's in it! Let's find out more, there's already precedent, but collaboration with a famous person is going to make a huge impact. Imagine a famous person looking at the perfume you put on the market and buying it and creating a lot of synergy by collabo with various products. Isn't it AWESOME? Also users can create a multi-sensory experience by combining visual and auditory elements with perfume. By converting colors into scents, like Bleu Nur, or by integrating various sensory data, like Meta's ImageBind, users can map music or images to perfume. Now I think you'll understand that this is a pretty interesting project. Once again, scent is no longer just a smell. It's one of the most powerful ways that we remember the world.

How it's made

Challenges we ran into The common opinion of the team members was coming up with a creative idea during development was certainly not an easy task. After many twists and turns, we finally managed to think of a unique concept and enthusiastically planned and structured it. However, turning that idea into an actual implementation and designing it was a whole different challenge. Sometimes, the design didn’t turn out the way we imagined. At other times, the overall look wasn’t aesthetically pleasing, or the code became tangled and produced unexpected results. There were even moments when we felt like giving up because it seemed too difficult to realize. These experiences made me feel frustrated and sometimes discouraged, thinking that we were falling behind others — which, in truth, reflected our lack of experience and skill. Despite that, we learned how to overcome these obstacles wisely and efficiently by seeking advice from teammates or more experienced developers. Let me introduce one more hurdle we've experienced. At first, we tried to use only one AI to get everything done, but soon we knew it's a hard work. So, we further subdivided the architecture and we've come to a conclustion that our project need several agents or AI s for more smooth execution. So we choose 3 tools - ElizaOS, Chatgpt, DaLL-E. We made it clear that each tools focus on their work by seperating them in a Server and AI agent. There were many other challenges, but I'm going to stop here. What our team learned during the hackathon was that although working alone has its advantages, we truly appreciated and learned the value of working with a team — striving together toward a shared goal with passion. This journey taught us not only technical skills but also important lessons about collaboration, perseverance, and gratitude.