It’s a description analyser that makes use of an LLM to analyse large texts and return a very understandable summary and key points.
Used Claude AI to generate the readme for the project
I built a small web app that recomeds songs for the user to listen to when they’re feeling a particular mood. Either they vibe or reset the mood
So I’ve been able to create a fix to the issues l think 🤔 but switched the broken playable links to a search result instead
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The projects seems to be completed but the links generated by the server seems to be broken 😔
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Reworked the backend and gave it the ability to analyze moods, get songs and map songs to the mood of the user.
While I did some of the work, I also received help from a friend github.com/Dprince-arch
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Transformed the project to a mood detector. An AI app that determines the users mood based on the users description and creates a special playlist to help get more I to or out of the mood
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Had issues making use of the API with my react frontend and I also kept on getting 500 or 422 error codes. Also, when I deployed an update to the to the fastAPI server so I decided to redo the whole thing and rework the Gemini API as well
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Completed the server using fast api
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Began the backend setup for the project using fastapi and Gemini
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Completed the frontend design and core frontend logic like input validation and state management
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