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Project Title: Quetzal
Project Description: Quetzal is a dynamic application that allows users to capture selfies in real-time and detect the emotions portrayed in the images using computer vision powered by Eden API. The detected emotion serves as a prompt for ChatGPT to generate a haiku, which encapsulates the essence of the emotion with a touch of hope for something more. Using the haiku as a prompt for stability AI Image generation, we then generate an Image that reflects the user emotion. It could become a form of therapy when we struggle with balancing our mental health. Quetzal goes further and give recommendations based on the given emotion. The generated title-emotion, along with the selfie/generated image and haiku description, can then be effortlessly converted into an NFT (Non-Fungible Token) with just a click of a button. In addition, Quetzal is an app that lets you make a movie with your facial expression.
Technologies Used: Eden AI API (Computer vision & text to audio generation), Stability AI API (text to image and image to video generation)
How did you used mintbase.js?: Used mintbase to mint NFT's using generated images and captured images.
Working Demo Link: https://blue-bird-tawny.vercel.app/ and https://youtu.be/3vRF90_awzY?si=bCXItKoU9Wi-55eQ (I removed my keys from the repo so the vercel app won't work as expected.)