In the world we live in today, stickers and emojis play a huge role in the way we express our thoughts and emotions. In order to incorporate our mode of expression with our passion for machine learning, we designed a unique and random sticker generator capable of learning.

What it does

TWO NETWORKS Generator - sends noise Discriminator - receives image from generator or real world image while providing accuracy value. GOAL: Train generator to create images capable of “fooling” discriminator and producing an accuracy value around 0.5.

How we built it

We used python, html, and machine learning!

Challenges we ran into

debugging, finding enough photos to train the generator

Accomplishments that we're proud of

It actually works

What we learned

Teamwork makes the dream work

What's next for Stickers

Clearer and bigger stickers

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