Annie is a designer who grew up drawing, fell in love with branding, ventured into data visualization, and now bridges all her skills through crafting visuals that tell a story ... -> 

Select Projects:

➊ Blooming Orchidaceaes
➋ Ours: A Third Place
➌ Sake.AI
➍ All About Tinned Fish
➎ Toyota Crown AR
➏ Breathscape Kit
➐ We Own NYC

I also illustrateand edit videos



annielee0313@gmail.com
@ayynniee
@annielee0313



Sake.AI

SDXL | LoRA | BART Transformer Models

Designed and Trained by Annie Lee, Ani Matevosian, and Yuta Itagaki

SAKE.ai analyzes sake branding using BART transformer and LoRA-based training to identify trends, generate labels, and give food pairing recommendations based on the flavors, aromas, and recommended temperature of each sake. 

This project explored practical exploration of Transformers, focusing on attention-based architecture for data visualization.

IDEATION

We noticed a missing element in typical sake labels—how much can we infer about flavors, aromas, and ideal drinking temperature just from the design?

Are there patterns or emerging trends in sake branding?
LABEL GENERATION MODEL

Fine-tune Stable Diffusion XL (SDXL) with DreamBooth using LoRA (Low-Rank Adaptation) for local usage.

The model is trained with 3O images and adjusting prompts manually with temperature, flavor, and aroma data.
LABEL GENERATION MODEL OUTPUT




PAIRING RECOMMENDATION MODEL

Using BART, a transformer model from Hugging Face, this system predicts food pairings based on sake descriptions by learning next-sentence relationships from a curated dataset. The dataset includes flavor-food pairings we collected from the Sakenomy website and data generated from ChatGPT.



SAKE.AI IN ACTION

Input → 

Floral Sake with Sweet Characteristics, Best served at room temperature


BART Output:

Light tempura, fresh sashimi, vegetable dishes

SDXL Output:



Next Steps

→  Web scrape Sakenomy for more data to generate more diverse food pairings.

→ Build a label generation tool that visualizes the flavors and drinking recommendations like temperature and food pairings.


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