Machine Learning: Best examples and ideas for mobile apps

Machine Learning   |   
Published December 21, 2018   |   

Every year, the world is swiftly moving closer and closer towards an era of digital reality. Nearly 20 years ago, we had massive computers that took up an entire room. And the internet didn’t even properly exist until the late 1900s. Now, we have modem-based internet with Wi-Fi connectivity and personnel supercomputers in our pockets, and many more! The same trend goes in the software world and user experience. This digital world requires an intensely customized experience for each particular individual served. It’s the main reason to abruptly say that the future belongs to the AI. Being powered by AI, the system will automatically learn user behaviour and personalize the feed accordingly.

With more than 1 billion active iOS users and 2 billion active Android users, the mobile app development sector is providing the most captivating and profitable market to develop and sell the most advanced digital solutions. There are about 4 million unique applications on this operating system, with the majority of them having the same functions.

Machine learning is an integral part of Artificial Intelligence. Smart machines are something that isn’t something new in this sector, bots utilized in industrial manufacturing are the best examples for Artificial Intelligence. Machine learning had their impact on mobile apps as well and has become a potential market to implement software that can adapt to user behaviours.

Nowadays, everyone wants a personalized user experience as per their individual needs. So, it isn’t sufficient to develop a decent mobile application. You have to make them stay in your mobile application. And, how? Let machine learning carry out the job for you. Apps powered with machine learning can transform your application into the one the users dreamt about. This has opened up the path to some cool applications.

The smartphone and tablet market are vast enough to develop and run apps that could respond progressively. We know how popular mobile applications utilize machine language to their advantage, it’s an ideal opportunity to figure out how machine language can benefit your app possibilities.

Now, let’s discuss some mobile app ideas where you can implement machine learning technology:

1. E-commerce apps

The use of machine learning in online commerce apps can provide customers with relevant search results while they search for products. Such functionalities will help your app to recommend the best products depending on user preference. Some apps could even predict the fashion trends and information regarding the offers. eBay’s ShopBot is the best example in case of e-commerce apps implementing machine language.

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2. Weather Forecasting apps

A weather forecasting app with ML technology can make use of your current location and fetch the possible forecasting of climate on your region.

Dark Sky offers accurate weather insights to millions by integrating forecast data with AI to predict the change in weather.

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3. Picture Editing apps

A picture altering app can offer different sizeable layout choices and selection of various filters that you can apply by guiding the bot. Celeste is an apt example when photo editing apps with machine learning are considered.

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4. Finance apps

Mobile finance apps with machine learning integrated can analyse your transaction history and offer appropriate deals. Such apps can also be used to manage the income and expenditure of a customer by linking their credit cards and accounts. Erica is such an ML powered voice assistant to keep your finances at bay.

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5. Food Delivery / Restaurant apps

A restaurant app powered with machine language can take orders, ask queries and even suggest the best recipe according to the user preference. By going through your order history, it could also help you experiment with new items on the menu.

For the food delivery applications, machine learning can provide the user with the ETA after precisely analysing the traffic condition.

6. Transportation Oriented apps

Such transportation apps can shed light on factors such as the expected time of arrival and a detailed description of the journey with real-time tracking on maps and many more.

7. Time Management apps

Time management apps can help you discover the best time for you to kick off your exercise and other work processes and eventually help you organize things on your to-do list.

8. Healthcare apps

Machine learning can assume the role of a physician since such health apps could analyse the symptoms and help in providing the best countermeasures. For instance, machine learning apps can predict the possibility of a headache and prescribe ways to prevent.

Apps equipped with suitable sensors can analyse the data and provide the user with particular workout programs to nurture the well-being of the user. Such apps can even maintain a journal for the users according to their training sessions. Freeletics is one such app which offers workout plan based on your workout level.

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9. Travel apps

Travel apps powered with automated learning technology can help the users in planning their future voyages, for instance, if you want to cut short the budget of the journey, the app will check with the least expensive hotels and travel alternatives.

Mezi is an AI-powered travel app providing personalized travel experience by understanding the user preferences and scheduling your trips accordingly.

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10. Sports app

Sports forecasting apps could hugely benefit if machine learning technology is incorporated wisely. Machine learning model, if implemented with utmost precision could even predict the outcome of the game.

Throne is a platform for predicting the outcome of a sport using machine learning. It makes use of live data, highlights, and many more features to encourage the use of the quantitative method in sports.


Now, you know a brief understanding of how popular mobile apps make use of machine learning. It takes a while for an app to work to learn your preferences and adapt accordingly.  Hope that this will motivate you to develop intriguing mobile apps leveraging machine learning.