Delivering Better Healthcare Services with Edge AI

 

Medicine has been one of the most renowned success stories of modern science and technology. However, the MIT Technology review observes that until 2020 the pace of digital transformation in this sector has been frustratingly low owing to its risk-averse nature and spiraling costs. The mainstreaming of digital tools for enabling the treatment outcomes was emerging, but slowly.

But the disruptions in the wake of the COVID-19 upended the scenario, stretching the global healthcare workforce to its limits. At the height of the pandemic, Mental Health America reported that stress and burnout affected 93% of the healthcare workers. It compelled the decision-makers to reconsider operational practices and find ways to build, manage and scale smarter hospital applications that intuitively assist the healthcare providers. Nevertheless, for such applications to deliver, the vast operational data streams need to be processed near their point of ingestion to reduce lags and enable real-time decisions.

Solving Real-World Problems

For instance, consider this use case. For patients undergoing treatment or residents of old age homes, falling from bed can be a significant issue, severely delaying recovery. In fact, research by Cleveland Clinic reports that 30% of such falls may result in serious injuries. However, continuous watch out across hospital wards can be extremely tasking for the medical staff. Here, can round-the-clock manual surveillance be replaced by bringing machine intelligence closer to the hospital floor? A smart application running object detection algorithms for face landmarks and body pose detection can predict a fall and trigger an alarm for the responders.

Such runtime feedback loops needed for remotely monitoring the patient’s body posture and vital signs and arriving at instant decisions based on situations are only possible by running AI algorithms on Edge.

What is Edge AI?

Currently, AI-powered solutions are implemented using powerful data centers on-premise or in the cloud. However, healthcare’s inherent challenges and peculiarities make this architecture difficult to be used across healthcare use cases. Running AI algorithms in the cloud comes with limitations like:

- Unreliable Internet Connectivity: While developed nations are way ahead in internet penetration and robust connectivity, it can be a challenge across the Global South. Further internet connectivity can be limited in rural areas and field hospitals.

- High Operational Costs: Sending data to the cloud and back to the device involves costs. Also transferring medical imaging in no-loss formats may push up operational expenses.

- High Latency: Putting massive data traffic through the internet can cause delays which is unacceptable in life and death situations. For instance, in the above illustration, the images of a patient’s position on the bed must be processed in real-time by the AI engine for optimized response.

In respite, Edge computing AI or TinyML brings the power into the device installed in the field. Instead of the cloud, the concept focuses on implementing neural networks at the endpoints or the network’s Edge. The AI-enabled edge device can thus process the data loads locally without relying on the cloud processing backend.

The Edge AI concept is based on the fact that the training and deployment of Machine Learning (ML) models can be done separately. Therefore it is possible to embed pre-trained ML models into medical devices with limited memory and computing, converting them into smart systems. However, challenges persist in efficiently handling AI workloads on the Edge owing to limited computational bandwidth, and the predominantly vendor/platform-specific nature of the available solutions.

Nevertheless, in the current digital economy characterized by the proliferation of the Industry 4.0 constructs and 5G, there is much optimism about Edge AI, with robust estimates from every corner. Research and Markets predict the global Edge AI software market will demonstrate a handsome CAGR of 19%, reaching nearly $2 billion by 2026. On the other hand, Edge AI Hardware Market Outlook — 2030 by Allied Market Research forecasts the market size for processors, memory, and sensors to reach $38 billion by the end of this decade.

Data-driven Healthcare

But what has led to the increased mainstreaming of the Edge-operated AI in healthcare in recent years? Apparently, an explosion of data in the sector due to the adoption of IoT and an increasing demand to harness it sustainably to deliver more personalized and intuitive clinical journeys. Dell Technologies reports that healthcare and life sciences presently account for 30% of all data stored globally, and about 3 million data points are generated on average across various clinical trials.

The data volumes are expected only to go up in the coming days due to the increased usage of connected devices and IoT sensors in healthcare. For instance, right now, at least 10–15 connected devices are in use per hospital bed in the US. Based on this trend, experts predict that 75% of the healthcare data will be generated at the Edge of the networks by 2025.

Benefits of Edge AI

Here Edge AI provides the tool to process the data near the source and bringing transformative benefits for healthcare like:

- Improved Security: Instead of data centers maintaining data within the Edge devices, confidential information on patient health remains secured from intrusions and less exposed to mass data breaches.

- Faster Triaging: Accurate diagnosis of health issues is key to delivering clinical outcomes and proper patient care. Here, operating alongside human healthcare professionals, AI solutions on the Edge can rapidly perform multiple tests at scale, giving better insights into the patients’ health. For instance, Google is leveraging AI to help doctors screen patients for diabetes-induced retinopathy and prevent early blindness.

- Lean Healthcare IT: Processing healthcare data using Edge AI allows healthcare institutions to adopt a leaner IT infrastructure. While operational and tactical aspects are pushed to the Edge, the cloud and data center bandwidths are focused on more strategic roles. Also, it ensures that vital healthcare processes are still available even in an outage.

- Process Automation: AI-enabled Edge devices can take on the repetitive tasks of the clinical environment and help healthcare workers to focus on more strategic tasks, saving time and money. For instance, in the US, on average, nurses spend up to 25% of their work hours on administrative works like patient onboarding and documentation. Instead, robotic process automation and Edge AI at the front desk can use tech like Natural Language Processing for initial patient interviews and capture and make the relevant information readily available for the healthcare professionals to review.

Edge AI Use Cases in Healthcare

While the benefits of inducting Edge AI in healthcare are apparent, what are some of the use cases where the technology is currently operating or may be adopted in the days ahead? Experts believe that the agility of Edge AI makes it highly contextual along the entire healthcare journey. Interventions include:

- First Response: Ambulances that ferry patients and accident victims to hospitals are no longer just transportations but slowly evolving into mobile Edge platforms that can deliver the necessary care within the golden hour. For instance, in Spain, EMS members use tablet PCs to capture patients’ vital signs and send them over a 5G network for analysis by the emergency personnel back at the hospital. In the days ahead, such information can be processed on the go using AI, directing the EMS professionals on the necessary steps to prevent the loss of life.

- In The Hospital: Within clinical environments, Edge computing and AI are pacing up the quality of diagnosis and automating medicine delivery. Instead of repeatedly transporting patients into various facilities for checks, Edge AI brings such services right to the patient. For instance, healthcare establishments like UCLA Health, Massachusetts General Hospital, or King’s College Hospital in London have inducted AI-powered MRI scanners that can operate at the patient’s bedside, identifying anomalies and helping radiologists analyze the situation in real-time. Further, instead of depending on nurses to administer the insulin shots to diabetics, an smart insulin pump can ingest data from artificial pancreas sensors under the patient’s skin to determine the blood sugar levels, automating delivery.

- At Home: One of Edge AI’s most prominent use cases in healthcare is telemedicine, delivering treatment directly to patients where they live. The American Medical Association and Wellness Council of America believe that upto 75% of the clinical workloads can be handled safely through telemedicine. For instance, using smart Edge sensors to monitor patient conditions at home can trigger alerts for the caregivers if the situation deteriorates. Also, Edge AI can help bring optimum healthcare to remote areas where quality medical expertise may not be available. The embedded intelligence can help process data locally and guide low-skilled medical professionals to make informed decisions.

Final Thoughts

While the benefits of Edge Ai in healthcare are multifaceted and compelling, much depends on skilled execution. In fact, in high-risk environments like healthcare, the imperative to get first-time-right outcomes can hardly be overemphasized! Therefore alongside investment in technology, it becomes a strategic necessity to find an experienced Edge and AI implementation partner who can get the job done and deliver the desired objectives.

Like other businesses, if you too are looking for low code development platforms Mindfire Solutions can be your partner of choice. We have a team of highly skilled and certified software professionals, who have developed many custom solutions for our global clients over the years.

Content Source: Medium

 

React’s suitability to develop Geospatial solutions

 

Introduction

Application development is a critical necessity for many firms that seek to create unique user experiences. This can range from a simple interface that provides relatively specialized access to data, such as data monetization, to a more comprehensive solution that supports complicated business decisions, such as site selection. According to 182 Pages Report, the worldwide geospatial solutions market is expected to reach USD 502.6 billion by 2024, up from USD 239.1 billion in 2019, at a CAGR of 13.2 percent over the forecast period. In this article, we will discuss the significance of react in geospatial solutions.

What exactly is geospatial data?

Geospatial data is information that describes things, events, or other characteristics that have a position on or near the earth’s surface. Geospatial data often combines location information typically coordinates on the earth and characteristic information (the traits of the entity, event, or phenomena in consideration) with temporal information such as life span during which the location and attributes exist. In the brief term, the reported location may be static, such as the location of a piece of equipment, an earthquake, or children living in poverty, or dynamic, such as a moving car or pedestrian, or the spread of an infectious disease.

Geospatial information systems (GIS)

GIS refers to the physical mapping of data inside a visual representation For example, you can see GIS in action when a hurricane map (which indicates position and time) is overlaid with another layer indicating possible regions for lightning strikes.

Geospatial data examples include

● Attributes and vectors: Points, lines, and polygons are examples of descriptive information about a location.

● Point clouds: are groups of co-located charted points that may be retextured into 3D objects.

● Satellite and raster imagery: High-resolution aerial photographs of our planet.

● Data from the census: Census data has been released that is related to specific geographic locations in order to evaluate community patterns.

● Cell phone data: Satellite-routed calls based on GPS locations.

● Drawn pictures: CAD images of buildings or other structures that provide both geographic and architectural data.

● Social media data: Posts on social media that data scientists may analyze to uncover new patterns.

The following are the advantages of using geospatial data

● Warnings in advance- Data anomalies in geospatial data may warn organizations to imminent events that will have an influence on their business.

● Greater Comprehension- Geospatial data may provide firms with evidence as to why and how some analytics solutions work well while others do not.

● Heightened efficiency- Organizations can increase the overall efficiency of their operations by utilizing the numerical precision afforded by geographical data.

Industry geospatial applications

Here are some examples of how different sectors are utilizing geospatial analytics:

Transportation Industry -

● Highway maintenance: With the emergence of geographic information systems in recent years, highway maintenance has become simple and cost-effective. Satellites can acquire real-time photographs of roadways, revealing the important regions that are suffering problems.

● Accident Analysis: Most cities and towns have CCTV, as well as satellite imaging services, which are simple to connect with GIS. Location addressing is used to alert accident emergency personnel to give assistance. In the case of an accident, GIS can serve as a source for a report.

HealthCare Industry -

● Recognizing Health Trends: GIS enables healthcare workers to spot health-related patterns and more precisely target healing efforts based on such findings. The University of Southern California’s Public Health Program, for example, uses geographic information systems in many of its many efforts, including the Cancer Surveillance Program.

● Enhancing Services: Finally, the use of GIS technology allows community leaders and developers to collaborate more closely with hospitals in order to take bigger strides toward solving national healthcare issues. The approach can assist in determining whether communities require more particular health services, such as rehab centers or elder care facilities.

Why React?

React is a cutting-edge technology that makes it simple to develop interactive user interfaces. You may use React to create basic views for each state of your application. When your data changes, React can properly update and render the appropriate components.

React allows iOS technology advocates to work on both web and iOS/Android applications. This is achievable owing to the simple code fundamentals and code similarities on both systems.

React is now one of the most popular online application frameworks. We are sure that the React framework, in conjunction with Redux, offers an unrivaled platform for developing Location Intelligence apps. It is very adaptable, declarative, scalable, straightforward, and quick.

Significance of React in Geospatial solutions

An open-source geographic data visualization tool for web application development can provide a low-cost approach to add geospatial visualizations into data solutions. One such example is Mapbox-GL, or, if you’re working in React, a wrapper of Mapbox-GL like Uber’s react-map-gl.

Mapbox-GL employs vector maps for speed and allows for simple customization of map visualizations like as choropleths, cluster markers, and even 3D maps, as well as customizable controls to modify zoom, compass heading, and elevation pitch of the map perspective.

Web-facing geospatial visualizations produced using open-source JavaScript packages may also be integrated with a browser-based user interface to adjust the configuration of map visualizations, allowing a data team to explore multiple geographic visualizations without having to rewrite code. Connecting geospatial visualizations to a cloud storage lake in the backend can provide scalable, value storage with an API for standardized query capability, allowing geographical data to be loaded on the map in the front end.

React-based browser-based geospatial visualization components have been developed by software suppliers. These components can be deployed, altered, and integrated with clients’ in-house cloud applications or included in Software-as-a-Service solutions for commercialization. They have linked these components with other data visualization dashboards and can assist companies in developing data lakes and APIs to store and analyze geographic data at scale.

Several React Geo-Spatial Libraries

● Using a declarative API, create beautiful React SVG maps using d3-geo and topoJSON.

● Based on Google Maps, the React geolocation component

● Bridge React Native module to convert address to geo coordinates.

● A bundle of geo-related libraries for React, Ant Design, and OpenLayers.

Conclusion

The development of the online application, as well as the iOS and Android applications, was faster and smoother with React. This increased the application’s productivity and stability in geographical solutions. React offers several advantages, and it is currently generally acknowledged in the industry. The greatest tool for geospatial solutions will be a combination of online APIs, maps, and a strong, clean, and pleasant mobile or one-page application created using React.

Like other businesses, if you too are looking to develop solutions with React, Mindfire Solutions can be your partner of choice. We have deep expertise in React Capabilities. With a team of highly skilled and certified software professionals, that have developed many custom solutions for our global clients over the years.

Content Source: Medium

How has React become the preferred choice to develop banking solutions?

 

Is your financial institution debating whether to hire a React JS expert and whether React is the best choice for managing your banking app? It is evident that the financial landscape has experienced a massive transformation and breakthrough during the last decade.

There have been 4 billion downloads of banking apps on the iOS and Android platforms in 2020. Meanwhile, actual bank branches are closing all throughout the world. There is an undeniable connection between the two.

As a result of the epidemic, tech-savvy generations prefer to rely on mobile banking solutions and mobile banking applications to complete transactions from the comfort of their own homes. Surprisingly, according to Finances Online figures, around 7,727 banking and financial applications are downloaded per second, for a total of 244.2 billion apps in 2020.

People appreciate the convenience of being able to bank whenever and wherever they choose, and popularity of smart gadgets has made this feasible. As a result, technical expertise in mobile development is in high demand in the financial services business. In this blog, we will look at the advantages of leveraging React JS for the implementation and operation of your banking application.

What Exactly Is React JS?

React JS is a JavaScript library built by Facebook developers to help with the construction of user interfaces. Angular and Vue are the two contenders in this sector, with Vue coming in third. React presently leads the market, with more than double the number of users as Angular.

For a long time, React has been used in a variety of financial apps due to their indisputable advantages in terms of speed, security, functionality, ease, and so on.

Global corporations have leveraged these technologies to construct a solid basis for their goods, websites, services, and apps, and the same is true today as they find their way into international adoption as banking applications

Real DOM

DOM is an abbreviation for “Document Object Model.” As a tree data structure, it represents the whole UI of the web application. When the state of the application’s UI changes, DOM updates to reflect that change. With each modification, the DOM is altered and re-rendered to refresh the application’s UI, affecting performance and slowing it down. As a result, with more UI components and a more sophisticated DOM structure, DOM updates will be more expensive because each change must be re-rendered.

Virtual DOM

The Virtual DOM is a lightweight DOM abstraction. Consider it a clone of the DOM that may be modified without impacting the original DOM. It has all of the same features as the true DOM object, but it does not have the power to alter to the screen. The lightweight nature of the virtual DOM contributes to its speed and efficiency. After each re-render, a new virtual DOM is produced.

React has multiple component-based toolkits that create apps by stacking components into a single programme. For example, a bank app may include components such as Navbox, profile, loan products, money transfer, account details and contact. The fundamental advantage of employing the React method to maintenance is that it employs both a Real Dom and a Virtual Dom. This is the key to React’s ability to keep your website stable while updates are being made.

The developer may make modifications to the Virtual Dom’s individual components without affecting the website’s foundation. When modifications are made virtually, the Real Dom immediately updates the change to that specific component.

Is React suitable for Financial Services Apps?

Another reason for React’s popularity is its open-source nature, which allows for the addition of libraries and the enhancement of the platform in a variety of ways. This has been done expressly to meet the demands of the financial services communities.

React JS has been enhanced to allow for the creation of financial-based user interfaces. As part of the modularized codebase and stunning UI design kits, financial institutions and service providers have used React Native as a popular version of the technology in the building and maintenance of mobile banking apps.

The React Native Finance App Template is an excellent illustration of how this technology has been modified to meet the needs of the banking industry. The FinTech community is increasingly making use of React Native’s multi-purpose features, which are specifically designed for developers of financial services and banking apps. Few examples include expense tracking applications, monitoring budget, crypto apps etc.

How React is helping to develop banking solutions?

React Native apps have proven reliability in the financial industry because of their great features that make the life of financial institutions easier.

The capacity to analyze real-time data, its security, and the simplicity of connecting with other apps has all led to React Native’s widespread acceptance in the banking sector.

Mobile devices are being used to trade stocks, complete bank transfers, manage personal finances, and purchase insurance, among other things.

You save time, money, and energy by concentrating your efforts on the most important components of your product. When your goals are clear and you want a uniform, controlled approach to your user experience, React JS excels. The presets and plugin elements save maintenance and development time, which saves energy and money.

The hype surrounding the React JS platform is justified with the increased usage of this technology every passing day. But still, financial institutions should be careful when experimenting with new technologies and practices.

Benefits of Using React Native for Banking App Development

This technology has been used by major businesses such as Instagram, Facebook and Airbnb for their application development processes. React Native is one of the most popular frameworks, drawing an increasing number of organizations and developers. But what is it about React Native that makes it so enticing to the tech community?

1. There is only one code for IOS and Android

Because iOS and Android platforms account for 99 percent of the mobile app industry, mobile development with React Native provides access to the great majority of the target audience. Correctly designed code can be shared 90 percent to 99 percent of the time between platforms.

2. ready-to-use components

Instead of building code from scratch, you may shorten development time by utilizing the ready-made components provided by financial app development with React Native.

3. Expense Reduction

For a variety of reasons, React Native can help you save money. Reusable code and components, reduced time and development costs, lower maintenance costs, a plethora of ready-made solutions and libraries, a great customer experience, lower UI cost, and seamless integration are the most compelling reasons to use React Native for your next banking application development. This emerging architecture enables you to construct your mobile solution more easily and quickly, while spending the least amount of money and effort.

4. Hot Reloading is available

Hot Reloading is a progressive feature available in React Native app development. It enables the implementation of new versions and the modification of the UI without the need to exit the operating programme.

5. Productivity

React Native in the financial app enables you to create native-live applications that run on par with native-built solutions and provide extremely fluid animations.

6. The Best User Experience

Using React Native optimizes the user experience across both Android and IOS platforms.

7. React Native Developers with Prior Experience

When building applications using React Native, you have access to a diverse set of skills. The React Native developer community is already large and expanding.

Few examples of financial apps that use reactive native include:

1. Novus World

Novus World is a simple and easy-to-use digital banking app. Its goal is to create an exceptional user experience when utilizing intelligent money management solutions. The ultimate purpose is to assist customers with budgeting, saving, and financial management.

2. Spendee

Spendee (more than 3 million downloads) is a personal budget management programme that assists users with tracking cash flows, managing financial habits and expenditures.

3. Mashreq

Mashreq Bank created the Universal Banker App (UB App) utilizing React Native to enable frontline workers operating in branches to support clients across a wide range of queries and trips.

Conclusion

There is a lot to consider when it comes to upgrading and switching technologies; nevertheless, the most important factor is whether the advantages exceed the discomfort of making changes to staffing or technological infrastructure. It should be obvious by now that technology has advanced, and React JS is the best platform in this day and age. When it comes to reliability and efficiency, React JS appears to be the ideal solution for the financial sector.

Like other businesses, if you too are looking to develop solutions with React, Mindfire Solutions can be your partner of choice. We have deep expertise in React Capabilities. With a team of highly skilled and certified software professionals, that have developed many custom solutions for our global clients over the years.

Content Source: Medium

An SEO optimized website is best charged up with React?

 

React sites confront significant problems in terms of search engine optimization. One of the primary reasons is that most React developers focus on client-side supplies. At the same time, Google focuses on server-side rendering, which makes ReactJS and search engine optimization challenging. This blog will go through all of the practical techniques to creating an SEO-friendly React app.

What exactly is SEO?

SEO is an abbreviation for “search engine optimization.” In non-scientific words, it refers to the process of upgrading your website so that it appears more prominently when people search for items or services connected to your company on Google, Bing, and other search engines. The higher the exposure of your pages in search results, the more likely you are to draw attention and attract new and existing clients to your company.

What is the significance of SEO, and how does a search engine work?

Search engine optimization (SEO) is the technique of generating quality traffic to your website by using strategies that create organic clicks from search results. If you’ve decided to create a web app, you’ll undoubtedly want your website content to be searchable on Google. That is why, before you begin constructing your website, you must decide how to assure search engine optimization. And, in order to make your web app SEO-friendly, you must understand how Google evaluates website pages and determines their importance. This method may be divided into three steps: crawling, indexing, and ranking.

1. Crawling is the first step.

Crawlers, such as Googlebot, explore the internet for new and updated websites in order to identify their contents. Crawlers discover new pages by following links from sites they are already familiar with. They also crawl sitemaps and web pages provided by managed web hosting services.

2. Indexing is the second step.

When Googlebot discovers new pages, it tries to figure out what these pages are about. While Google can interpret the contents of photos and movies, language is its strongest suit. Use relevant titles, headers, accurate meta descriptions, and topical content to ensure that Google sees what you want it to see on a certain web page.

3. Ranking is the final step.

The final step Google does when working with new pages is to rank them in order to evaluate how relevant they are to the demands of users. When a user enters a search query, Google returns a list of results ordered from most relevant to least relevant.

As you can see, it is critical that your website has pages with content that your consumers are seeking for. And the higher the quality of the material, the higher the position of your site in Google search results.

What’s the deal with React and SEO?

React is a JavaScript package that is open source and used to develop quick and responsive user experiences (UIs). It’s a popular framework for creating static applications, dynamic web apps, and single-page apps (SPAs). It’s interesting to note that websites designed with the same technological stack might have varying degrees of SEO friendliness. Let’s look at how and why various types of React apps differ in terms of SEO.

Static web applications

These are websites that provide information that does not update regularly. Static websites include landing pages and blogs. The information on these websites is stored in HTML files created on the server throughout the development process. When a user makes a request on a static site, the request is immediately forwarded to the server, which retrieves a ready file and delivers it to the user’s browser.

Static web applications are excellent for SEO since they quickly generate an HTML file with the essential information, allowing Google to index and rank pages.

Dynamic web applications

have dynamic material that changes frequently and is unpredictable For example, if you create an online store or marketplace, you can’t anticipate what the shopping cart would look like for each consumer ahead of time. Requests containing user-specific data are sent to the server, the server obtains the relevant information from databases, an HTML file is constructed on the server, and this HTML file is delivered to the client’s browser. As a result, Google crawlers can quickly analyze and rank dynamic pages.

SPAs (single-page applications)

having all of their stuff on a single page SPAs are well-known for providing an excellent user experience. This is because, unlike typical multi-page websites, SPAs are rendered in the browser (on the client side) and do not make queries to the server every time a user interacts with the application. This increases the initial loading time, but additional material is loaded instantaneously during subsequent interactions.

Common React SEO Issues:

The following are the most prevalent issues with JavaScript pages that might affect their indexing and ranking.

1. Indexing is a time-consuming and sophisticated operation.

Only HTML pages can be readily scanned and understood by Google bots. All of these actions are completed quickly by Google. When it comes to pages having JavaScript code, however, the indexing process becomes more complicated. This is a linear procedure that takes far longer than indexing an HTML page.

2. JavaScript code errors

The ways to handle mistakes in HTML and JavaScript are diametrically opposed. Indexing may be rendered impossible by a single typo in JavaScript code.

This is due to the fact that the JavaScript parser is entirely unforgiving of mistakes. If the parser encounters an unexpected character, it instantly stops processing the current script and displays a SyntaxError. As a result, a single character or error can render the script completely inoperable. When this happens when the Google bot is indexing the page, the bot will perceive an empty page and index it as a page with no content.

3. Depleted creeping budget

A crawling budget is the maximum number of sites that search engine bots may crawl in a certain amount of time, which is typically five seconds for one script.

Many JavaScript-based websites have indexing issues because Google has to wait too long (more than five seconds) for scripts to load, process, and run. Slow scripts indicate that the Google crawler will fast exhaust its crawling budget for your site and abandon it before indexing it.

4. The Difficulties of Indexing SPAs

Single-page applications (SPAs) are React-based web apps. These web applications are made up of a single page that is only loaded once. All additional information is loaded dynamically as needed. SPAs, as opposed to traditional multi-page apps, are quick, responsive, and provide consumers a smooth linear experience.

Practical methods for developing an SEO-friendly React app

All of the above-mentioned limits are circumventable. Here are the recommended techniques for resolving React and SEO issues.

1. Rendering before rendering:

Pre-rendering is a popular method for making single- and multi-page web applications SEO-friendly.

When search bots are unable to render your sites correctly, pre-rendering is employed. Pre-renderers are special programmes that intercept requests to your website and, if the request is from a bot, provide a cached static HTML version of your website. If the request comes from a user, the standard page is displayed.

This method of optimizing your website for search engines offers the following benefits:

● Pre-rendering tools can run all forms of contemporary JavaScript and convert it to static HTML.

● All of the most recent web innovations are supported by pre-renderers.

● This technique needs just little or no changes to the software.

● It’s simple to put into action.

However, there are certain disadvantages to this approach:

● It’s not appropriate for pages that display regularly changing data.

● If the website is huge and has a lot of pages, pre-rendering might take a long time.

● Pre-rendering services do not come cheap.

● Every time you modify the content of a pre-rendered page, you must rebuild it.

2. Rendering on the server side:

If you’re simply going to make a React web app, you should understand the distinction between client-side and server-side rendering.

Client-side rendering means that a browser or Google bot receives empty or sparse HTML files. The JavaScript code then retrieves the material from the server and displays it on the users’ screens.

Browsers and Google bots receive HTML files containing all of the content when server-side rendering is used. Google bots can correctly index and rank the page.

3. Next.js for search engine optimization in SPAs:

Next.js is a JavaScript framework that allows you to create static server-rendered applications. It offers a slew of features that allow even the most fully loaded SPAs to render on the server without a hitch.

Conclusion:

Successfully merging SEO and React isn’t as difficult as it was a few years ago. However, maintaining the SEO friendliness of single-page apps (the sort of website most typically created using React) remains an issue.

You may use pre-rendering or server-side rendering to make an SPA visible to Google crawlers and indexable. Both tactics necessitate more time, money, and effort to assure SEO friendliness, but they are unquestionably beneficial if you want your website to rank high in Google search results.

Like other businesses, if you too are looking for SaaS Based System, Mindfire Solutions can be your partner of choice. We have deep expertise in React Capabilities. With a team of highly skilled and certified software professionals, that have developed many custom solutions for our global clients over the years.

Content Source: Medium