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Inspiration
AI is sucking the creativity out of Art and Music.
What it does
This Web app is able to help Artists to over come there biggest challenge Art block. It uses generative AI to pull pictures, quotes, and music. It creates a mood board with these objects to help people stump there creative block.
How we built it
Implemented a static front end with a tech stack of HTML, CSS, JavaScript. Our GraphQL, PostgreSQL, and C#.NET backend connects our front end elements to modern API's that deep search for relevant images, music, and color pallets for artists. Using Render, our program overcomes the limitation of an otherwise static program by having constant runtime, including backend server calls using environmental variables, blueprints controller server start and end, and connecting our tool as directly as possible to our user.
Challenges we ran into
Backend API implementation. Legal licensing, token limits, learning GraphQL and bypassing Github Page static elements and connecting to Render.
Accomplishments that we're proud of
We think our main accomplishments are getting the API to connect for the AI. We kept the main repository clean with out many merge conflicts. We were effective in out planning when we did not know where to go we all met as a team and figured out what we were doing in the project. We are also proud of our bonding as a team. We are also very proud that through out this activity we did 444 push ups.
What we learned
We improved our understanding of how to use generative ai as a programming partner. We pivoted and used graphQL to handle relationships between data. We learned more about using .net integration and Restful APIs. We researched and gained an increase in understanding of legal data usage and best practices.
What's next for Scalable
For what is next we would love to enhance our deep search functionality. We would also like to have videos to be available to add to the mood board. We also would like to obtain legal licenses for Pinterest and Spotify this is so we can make it more personalized to the user.
