Build Next JS Full Stack AI app with Huggingface, Docker, AWS

Video Description

Github: https://github.com/KoushikJit/object-detection Transformers.js: https://huggingface.co/docs/transformers.js/index In this video we build a Next.js application that utilises Hugging Face's Transformers.js library, that allows us to run pretrained AI models within our own production environment. Although we take the example of object detection, but you can easily use this project as a springboard to build, run, and deploy your own artificial intelligence applications within your own robust production environment. In this video we walk through each step, from scratch to deployment, including Docker image creation and deployment to Amazon Web Services (AWS) Elastic Container Registry (ECR) and running it on AWS Elastic Container Service (ECS). If you are diving into the world of Next.js and looking to leverage Hugging Face's wide toolsets for Artificial Intelligence Tools with the end goal of building and deploying your own production ready application, this video is targeted for you. We cover everything in a lucid manner, breaking down complex concepts into easily understandable segments. By the end of this video, you'll have a comprehensive understanding of how to build an ai-enable robust application, package it, and deploy it using modern technologies and cloud services.