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The project aims to create a Supervised Machine Learning algorithm for cat classification problem that detects whether a cat is present in the image or not by generating an RGB/HSV Histogram Model. By processing a large set of images, the specific features are being identified with an accuracy of up to 83%.
This core project integrated IDX, programming environment with AIs and Google's Android, desktop and iOS emulators. With early access, I explored the synergies between these technologies, marking a key breakthrough in my experience and understanding. 🌐🤖 #InnovativeProject
RepDetect is an android mobile application for workout enthusiast which uses Google MediaPipe Pose landmark detection using MLKit to create a basic fitness application.
Este repositorio esta basado principalmente en la carrera de machine learning y data science de platzi pero también habrán recursos de otras plataformas e instituciones educativas.
Introducing ChameleonAI, your very own, customizable roleplaying AI chatbot. Powered by Google's state-of-the-art PALM Generative AI Model, you get to talk to anything, anyone, anywhere!