Inspiration
Our inspiration was the growth of AI artwork and figuring out how to make it accessible across various devices in an easy to use format.
What it does
It takes an user inputted image (whether it be uploaded or a picture taken immediately) and creates art based off of parameters users can select.
How we built it
We built the backend using python with the use of ML models (namely efficient net for image detection, and OpenAi's Dall- e image generation capability), and the frontend using the Streamlit platform.
Challenges we ran into
We were not well-versed in frontend functionality, so testing out different methodologies and finally landing on Streamlit took some trial and error.
Accomplishments that we're proud of
We are proud of how we were able to build a scalable, responsive web-app without much prior experience using AI and ML as a backend for user functionality
What we learned
We learned about frontend technologies, and how to seamlessly connect AI/ML models created in python into a website that could be used across many different devices.
What's next for The Artifier
Creating a login system so that users can save the artwork that they create using a database in the backend to store user data.
Built With
- openai
- python
- streamlit
- timm
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