Inspiration
Our inspiration was: When we started learning AI, our biggest problems were hardware limitations, complex code, and a very large amount of public models. Many people do not have access to AI and are limited by hardware issues. We wanted to build an environment where AI is easy for users to get to understand while removing the hardware limitations to do so.
What it does:
Makes learning about AI more accessible as a low-code solution by integrating an AI model into a block scripting system.
How we built it
We built it using Flask and Python as the back-end script that fetches a gpt-api that we coded that is based on public models. We used TurboWarp as the UI because it is easy to implement and there are many users on the platform. Turbowarp has 6.8 million kids under 10 who know how to use the platform. Because we used Turbowarp, many of them can easily get to know how to use AI and make AI projects.
Challenges we ran into
One challenge that we went through is the issues with Scratch's UI model. This UI was extremely hard to implement due to the restrictions that Scratch puts on community developers. This required us to use TurboWarp instead of the stock Scratch UI. Another issue was Linux not building the project when we made a change. This required us to scramble in between different codespaces and configurations.
Accomplishments that we're proud of
Building an entire API within the span of 24 hours.
What we learned
Flask, working with multiple codespaces, and general skills like teamwork and communication.
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