Inspiration

for me there two main inspiration that made believe to build this . That is my sister and me ,before the llm chatbot revolution my sister do not browse the web to buy the products she ask me to buy and research, after the llm chatbot revolution sister started to use daily ask to llm not me so I think of an idea if products showcase also take place llm chatbot and for me when I started think way make pocket money I dont how to use market if it has been there we understand the based on my preference so we start making the business it make a lot easy for beginner.

What it does

It ask the user about the user preference, it look real data from the qloo database retrieve and sent to gemini and build a trend prediction based on my preferences. Then we can create brand dna its a our personal brand it give brand name and color palette for the design , it was created from our cultural data that are sent to gemini. It suggest the name and color palette for our personal brand. If type recommendation it retrieve the personalized products it a good feature. Also I created product showcase like amazon if we type our loved theme like anime, travel, football clubs it suggest product that we can buy.

How we built it

we built beautiful frontend in Streamlit. The Qloo api doing the getting real time cultural data then we feed to gemini reasoning then it provide the trend prediction and personal brand generation. It connect to user current cultural preferences.

Challenges we ran into

Main issue challenges is run to api rate limit for reasoning model , then qloo api docs understanding about tags

Accomplishments that we're proud of

I proud of the creating real trend based business system , personalized products recommendation, Brand Dna where create our identity brand with color palette, our theme product showcase system where we can buy product from it, Also it great opportunity we affiliates the market we someone buys from it, Also we ads based products to great revenue, Great Accomplishments is transition from web browers to Chatbot more easily and friendly.

What we learned

I developed to integrates the advanced api technique to implement our cultural system. I learned about nlp ,asynchronous programming in Python. Understand the error handling and fallback. personalization principles in e commerce and brand identity formation through cultural analytics.

What's next for Cultrend Ai

It should enhance the NLP for the better to capture user preference . We are trying to implement affiliate marketing, ads , products catalogs to buy .Important one if they provide the good idea implementation we are to pitch the idea or to raise the startup funds.

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