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Using ReactJS With NodeJS | Ideal Tech Stack For High-Performance Web App Development

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Are you looking to create a full-stack web project? Are you overpowered by the options available in the market? 

Agreed, details like structure and code for the frontend and backend are requisite, but once you choose a library, you can integrate it with a popular framework to work on the development part. 

Are you aware that Node.js and React JS are the two most adopted technologies for web app development? 

React is perfect for the frontend, and Node.js is optimal for the backend. However, if you fuse the two frameworks, the result will be a seamless web app. 

What is React JS? 

You can create user interfaces with the React JS library. Also, you can use reusable components to make code simple to read and maintain. The best part is that these components auto-update when you interact with them. 

With that, you can expect a seamless response that works across many devices. As a result, your application is swift and responsive. React JS should be your first choice if you want to fasten your enterprise app development process. 

With React JS – you can build scalable online apps. Plus, it can help you build the best apps with the framework, even if you don’t know intricate scripting language. 

What is Node.js? 

If you need to build server-side and networking apps, your bet should be on Node.js. Apart from its sizable library of programming modules, you can facilitate the integration of programming languages with API and other third-party libraries. According to the statistics, 42.73% of Web programmers are using Node.js framework, libraries, and IDEs for their complex web development projects. 

Ideally, it runs on Chrome JavaScript runtime. You can build data-intensive real-time apps with Node.js because of its lightweight and efficient I/O model feature. Additionally, you can minimize the development time as it works on multiple platforms. 

Do you know most companies demand scalable software solutions today? Node.js will fit the scalability part as it handles concurrent requests efficiently. Also, the framework features cross-platform compatibility with rapid code execution. 

Going further, let’s look at some reasons to use React JS with Node.js. 

  • You can use Node.js for sequent server connection i.e. if your app’s core is based on real-time data streaming. 
  • You can use React JS and Node.js if you need to handle many requests and maintain server load balance. 
  • Also, you can develop single-page applications in React and use Node.js to build lightweight models for asynchronous data loading through the callback function.
  • You can fuse Node.js and React capabilities to build responsive data-driven multi-device apps. Basically, you can scale up your website performance. 
  • By integrating both technologies – you can expect more ROI and save added effort on app development. 

If you use React JS with Node.js, it can streamline the web development process. 

Here are some applied examples of using React JS with Node.js: 

Do you need to use the frameworks for standard web apps? You can use React JS to render the page and Node.js to handle the requests for the app. Ideally, for a chat app – you can use React JS to render the chat interface and Node.js can handle user communication. 

Steps to merge React JS with Node.js as a backend: 

Firstly, contrive a Node.js project 

You can contrive a Node.js project using a Node package manager (NPM). With this, you can set up a project structure at once. 

Now, set up the server 

It is time to contrive an express.js server – a flexible node.js web app framework. Ideally, you can install it as a dependency. 

Now, contrive a basic express server in a file i.e server.js 

const express = require(‘express’);

const app = express();

const port = 5000; // You can choose any port

app.get(‘/’, (req, res) => {

 res.send(‘Hello from the Node.js backend!’);

});

app.listen(port, () => {

 console.log(`Server is running on port number ${port}`);

});

It is time to initiate the Node.js server with:

node server.js

After that, your Node.js backend will run on your chosen port. 

Quick steps to merge React JS with Node.js as a frontend: 

You can contrive a React app using Create React App – a tool that sets up React projects quickly. 

npx create-react-app my-react-app

Now, you can fetch data from the backend 

You can use the React components to fetch API and request HTTP to the Node.js backend.

import React, { useState, useEffect } from ‘react’;

function App() {

 const [data, setData] = useState([]);

 useEffect(() => {

   // Fetch data from the backend

   fetch(‘/api/data’)

     .then((response) => response.json())

     .then((data) => {

       setData(data);

     });

 }, []);

 return (

   <div>

     <h1>Data from the Backend:</h1>

     <ul>

       {data.map((item, index) => (

         <li key={index}>{item}</li>

       ))}

     </ul>

   </div>

 );

}

export default App;

Now, connect to Node.js backend 

After the above step, you can connect to the Node.js backend by setting up a proxy in your package.json. 

“proxy”: “http://localhost:5000”

With this typical configuration – you can make backend requests without CORS issues. 

Finally, it is time to start your React development server 

cd my-react-app

npm start

As a last step, your React frontend is accessible at http://localhost:3000. In ideal case, you can fetch and display data from the Node.js backend.

Wrapping up

If you integrate React JS with Node.js, it can help you build present-day and scalable web applications. 

With React JS – you can arm the frontend user interfaces, and Node.js can arm serving data and business logic on the server side. 

Are you ready to contrive high-performance web apps with the two technologies? If scalability and flexibility are your foremost concerns, try using both frameworks for app development. 

About the Author: Harikrishna Kundariya, a marketer, developer, IoT, Cloud & AWS savvy, co-founder, and Director of eSparkBiz Technologies. His 12+ years of experience enables him to provide digital solutions to new start-ups based on IoT and SaaS applications.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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