museverse

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Benjamin Franklin conversation example.

Inspiration

We always notice many people around us in extreme pursuit of productivity. However, we know that creativity is the key to success. Nevertheless, we found it excruciatingly hard to find services that are able to unleash your true creativity, so we decided to create museverse.

What it does

Museverse is an application where users can ignite unstoppable flows of creativity by conversing with intelligent chatbots of famous and incredibly creative individuals such as musicians, artists, scientists, writers, innovators, and philosophers.

Imagine entering a chat and asking AI chatbots of creative people highly personalized questions. Next, thanks to a vector database, these chatbots respond with exceptional precision and personification, providing you with inspiration and motivation to revolutionize.

Museverse is more than simply a tool — it's a gateway to an endless source of inspiration!

How we built it

Firstly, we designed the application using Figma, a collaborative design tool. Then, when it came down to the development of the application, we decided to use Next.js as our framework and Typescript as our primary language. In addition, we used Trunk Check to preserve the quality of the code and prevent unsafe code. Furthermore, to ensure the high quality of our application's styling, we decided to use shadcn.ui and tailwind.css.

Then, we used MySQL as our database, Prisma as our ORM, and Edge Store as our object storage.

Further, we needed to create a chatbot API. We initialized a long-term AI memory using Pinecone (Vector Database) and Redis (to make the API swifter). After, we started looking for the best Text Generation API for our chatbots. Firstly, we decided to use Vicuna-13b, but we found it relatively imprecise. Secondly, we chose Llama-13b-v2, yet it gave incomplete responses and didn't fully follow the prompts. Lastly, we decided to choose conventional ChatGPT-3.5-turbo, and this turned out to be the best solution.