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This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app.
A Blog Site developed using EJS for Frontend, Node.Js with Express.Js as Backend and MongoDB for Database.Server deployed on Herokuapp. In this CRUD operation feature is give to User with Authentication
Herbs have been used for centuries for their medicinal properties and culinary uses. Our website helps you identify over 90 types of common herbs found worldwide. Simply upload a photo of the herb you want to identify, and our DL model with help accurately classify the herb.
A Deep Learning object detection based web app that removes the background of the images using a Neural Network model. Created on Flask and deployed on Herkou, this app uses a DeepLabV3 Xception model for object detection and image processing techniques to remove the background.