Usage of insurance apps, Features of popular insurance apps, must-have insurance apps for your Android and iOS, live a stress-free life with insurance apps. Read more https://digitalsushma.com/the-must-have-insurance-apps-for-this-year/

Messaging apps like WhatsApp, Telegram, Snapchat, and WeChat have changed the way we communicate with each other. They help us stay connected with family and friends wherever they are.

In April 2020, cloud-based mobile messaging app Telegram reported over 400 million monthly active users worldwide.

Simply put, messengers are more popular than ever. So, now is the best time for you to build your own messaging app like WhatsApp or Telegram (or better)!

Follow these simple steps to create a super cool new chat app.

Step 1: Research the market and determine what problem your app will solve.

Step 2: Determine the best app business model to effectively monetize your app.

Step 3: Hire an app development team experienced in developing messaging apps. WhatsApp and Telegram.

Step 4: Build the architecture of your app.

Step 5: Build an excellent design for your messaging app.

Here are the essential features you must include in your app:

• Sending Text Messages
• Sending Media Files (photos and videos)
• Sending Audio and Video Messages
• Exchange of Live locations
• Sending Contact Cards

Now, the big question is how much it will cost to build an app like WhatsApp or Telegram. Well, calculating the overall cost of developing a messaging app isn't an easy task. Nevertheless, the approximate cost to develop a chat app can be around $50,000 to $60,000 per platform (Android and iOS). However, the cost can vary depending on the project needs, complexity, features, and functionality you want in your app.
If you are wondering how to create your own messaging app, here are the steps to bring your app idea into reality.
Several factors can affect the cost of developing a messaging app, including technical complexity, devices, and OS, UI, development company's location (obviously, a US-based development company will charge more than one in Eastern Europe or India), etc.

The total cost of a WhatsApp-like app for two platforms (iOS and Android) may vary from $110K to $160K.

Check out our latest article on how much it costs to build an app

One of the industries that benefit from machine learning the most is mobile application development. The use of machine learning became so widely spread that you might not even suspect that an app relies on it.

Machine learning algorithms find patterns in massive amounts of data to make data-based predictions and decisions. The more data ML processes, the better algorithms become and the more accurate predictions and decisions they make.

Today, three main types of machine learning are defined:

• Supervised machine learning – the algorithm is trained with predefined training examples. It is used for the ML to learn how to reach the right conclusions when new data is fed to it.
• Unsupervised machine learning – the algorithm is trained on data without predefined rules. It must find patterns and relationships to make predictions in the future.
• Reinforced machine learning – machine learning is trained to make a sequence of decisions. The agent learns how to achieve the goal in an uncertain and potentially complex environment.

Industries That Can Benefit From Machine Learning Application Development

Machine learning is the solution that is gradually finding its way into various industries. Use cases are numerous and, in this part, we are going to talk about the industries and spheres where machine learning can bring the highest value.

• Transportation

Smart and self-driving cars have already entered our lives. Artificial intelligence enforced with machine learning algorithms are used to monitor the traffic and predict changes. The combination of these technologies allows for cars to drive without human assistance.

• Healthcare

Machine learning is accelerating the healthcare industry. Such solutions collect and analyze patient data to diagnose and advise possible ways for treatment. Predictive healthcare is gaining traction.

• Finance

The finance industry has a huge amount of data that needs to be analyzed to make predictions for future data collection, management, investment, and transactions. Machine learning and artificial intelligence are used in the industry for fraud detection and fraud prediction.

• Cybersecurity

The technology can analyze data about incident reports, alerts, and more to identify potential threats and improve security analysis or even advise response.

• Manufacturing

Companies with assembly lines can use ML algorithms together with sensors and artificial intelligence to predict the need for maintenance. Thanks to their use, companies can avoid unplanned downtown and drops in production.

• eCommerce

The eCommerce industry already benefits from this technology. Personalized product recommendations increase the average order value and revenue.

• Marketing

This technology can be applied in the ads industry to improve the efficiency of ad campaigns by targeting users with highly personalized ads tailored to their specific interests and needs.

Read more about Machine Learning App Development 

Flutter is an open-source user interface (UI) software development kit (SDK) developed by Google. It was first released in May 2017.
Flutter helps build applications for mobile, web, and desktop from a single codebase. Flutter uses the Dart programming language.

Pros of Flutter

• - Flutter is an open-source product
• - Same UI and business logic in all platforms
• - - Fast development
• Flutter's "hot reload" makes it possible to make changes to the code and see the results immediately
• - Similar to native app performance

Cons of Flutter

• - Flutter is a young technology
• - Lack of third-party libraries
• - Larger app size
• - Limited resources designed to help you learn Dart

What is React Native?
React Native is a cross-platform framework created by Facebook. Facebook released React Native in 2015 and has been maintaining it ever since. In just a couple of years, it became one of the top solutions used for mobile development.
With the help of React Native, developers can create full, native mobile apps for both iOS and Android using JavaScript.
Some apps built with React Native are Facebook, Airbnb, Walmart, Bloomberg, Instagram, and Tesla.

Pros of React Native

• - Time and cost-efficiency
• - No differences between IOS and Android
• - Native-like performance
• - Hot reloading
• - Native look and feel of your apps

Cons of React Native

• - Dependence on Facebook
• - Few third-party components
• - Hard to debug
• - More time spent on fixing small problems

React Native & Flutter: Similarities

- Both are designed for cross-platform app development

- Both frameworks are backed by giant tech communities

- They are both free and open-source

- Up-to-date and detailed documentation

- Hot reloading and quick modifications

Should You Use Flutter or React Native?
Flutter vs. React Native? Which one is better for mobile apps? React Native and Flutter are the most popular technologies for cross-platform software development of mobile applications. Your final decision will depend on your experience and the goals and requirements of your project.

Read next: Flutter vs. React Native: Which is the Best Cross-Platform Open-Source Ecosystem?

You can’t use PayPal on Amazon directly. However, these hacks and tricks can help you use your PayPal balance for buying things from Amazon.