amanlikemurphy.hashnode.devTutorial 5: Deploying Application with AWS AmplifyDeploying the Rice Disease Detection App with AWS Amplify This guide explains how to deploy our Next.js application using AWS Amplify. AWS Amplify provides a git-based workflow for hosting full-stack serverless web applications with continuous deploy...Mar 5, 2025·3 min read
amanlikemurphy.hashnode.devTutorial 4: Configuring AWS Lambda FunctionConfiguring AWS Lambda for Rice Leaf Disease Detection This guide walks through setting up an AWS Lambda function that processes rice leaf images using AWS Rekognition and stores results in DynamoDB. Prerequisites AWS Account with administrative acc...Mar 2, 2025·3 min read
amanlikemurphy.hashnode.devTutorial 3: Training AWS Rekognition Custom LabelsThis guide details the steps taken to train a custom dataset, link it to Amazon S3, and integrate it with AWS Lambda function for real-time image analysis. Amazon Rekognition Custom Labels enables the training of custom computer vision models. Unlike...Feb 28, 2025·6 min read
amanlikemurphy.hashnode.devTutorial 2: Configuring AWS S3 and DynamoDBSetting up AWS S3 for Image Storage This tutorial will walk you through how AWS S3 bucket was configured for the Rice Leaf Disease Detection application. Prerequisites An AWS account with administrative access, preferably an IAM user with the necess...Feb 23, 2025·4 min read
amanlikemurphy.hashnode.devTutorial 1: Setting up the Application LocallyOverview This guide will walk you through the process of setting up and running the Rice Disease Detection application on your local machine. Prerequisites Before you begin, ensure you have the following installed: Node.js npm (Comes with Node.js) ...Feb 20, 2025·2 min read
