5 App Ideas to Unleash the Power of Mobile Machine Learning

With over 2 billion active Android devices and over 1 billion active iOS users, the mobile market provides the most engaging and profitable market to build and sell new digital solutions. There are less than 4 million unique applications for each of these operating systems, with most of them performing the same or related functions.

However, the arrival of cloud-based and device-based artificial intelligence tools provides a unique opportunity to recreate the mobile experience for existing apps, as well as build entirely new mobile apps that can only be possible through the use of AI-powered tools.

There are a few challenges with harnessing this opportunity of mobile apps with AI capabilities, some of which include knowing what problems to solve, what applications to build, and how to tailor these applications so that existing app users can have improved mobile experiences.

Below, I’ll be sharing 5 exceptional mobile apps ideas made possible by integrating AI into the mobile experience. Let’s get started.


When people navigate through cities to get to work or to visit new areas, they pass by many potential points of interest, such as supermarkets, spas, cinemas, motels, dance clubs, music venues, etc. Yet they still have to query Google and/or check Google Maps each time they need to visit these places.

The GeoInterest app would be an application that operates on your phone and automatically detects, bookmarks, and stores details of these places of interests determined by you whenever you navigate an area or go on a trip. To let you get an idea of the experience, it would work as follows:

  • Once the app is installed, you could select types of places of interest from suggested tags and add new tags yourself.
  • The app would keep track of your location and query the Google Map API as your location changes, auto detect places of interest, obtain their exact locations on the map, and obtain sentiment analysis of the facility from the web on social media. It would also generate a summary of the facilities’ websites, phone numbers, contact emails, and social links.
  • On a single trip, it could detect a few dozen to hundreds of places of interest that correspond to your interest tags.
  • You would be able to review the bookmarks and edit, delete, or update each item.
  • You could favorite bookmarks, which ensures you’d get instant notification when you’re near the favorited location.
  • With a single click, you could also request an Uber ride to the place of interest from your current location.


People love to have photos on their phone, and most of the time they have to search through social media and occasionally on Google for their favorite photos.

By using an on-device recognition or detection model, IntelliP would scan and organize all images in a smartphone into multiple categories based on the items in them and do the same for every new image created/downloaded into the phone.

From this categorization, it would obtain the users’ favorite photos and suggest new related images from the web. In addition, users could buy premium images that are suggested based on the classes of photos on their phones.

Finally, the app developer could obtain incredible insight data into the type of photos most desired by mobile users within a geographical location. This could be very useful in determining potential markets for businesses and product companies.


Have you seen the movie “Her”? Trust me, you need to if you haven’t. The movie explores an operating system that, among other things, keeps you from having to use your pen and/or hands to write or type letters or documents.

NaturalYou would store your diary, which you could add new content to by simply speaking to it. It would overcome the barrier of keeping your brain waiting while your hands translate the words in your mind to a digital or physical blueprint. This would ensures that your thoughts are instantly digitized and recorded as your mouth speaks them out.


Do you like reading books or listening to stories on the radio? Trust me, these stories don’t always come at the time you desire—it could be because of a busy schedule or many other reason. The StoryTeller app would ensure you’d be able to listen to your favorite books, read to you in perfect story-telling style.

Just import the story’s Word/PDF file or paste in a link to the app, and the app would reads it not as a dictation but just as a professional story teller would. The app will predetermine its style of story telling based on the categorical analysis of the story obtained.

Extended Journalism

Journalists desire to write about the hottest, latest, and most important events as soon as they happen. Lots of attempts have been made to collect respondent reports via a mobile app. But journalists still have to find most of the details on the events before they can provide a concrete report.

The most effective way to encourage people to provide the right information without the presence of the journalist is to provide a near-natural experience in a correspondence-based mobile experience.

Extended Journalism would engages a user in a voice conversation and ask the most important and vital details it needs in order to auto generate a report that a journalist can review later. It could generate new questions based on previous answers and confirm report clarifications.

It could also identify similar reports and provide merged versions of the report. This would ensure the journalist receives frequent updates on events from which a potential news report could be generated.

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Our team has been at the forefront of Artificial Intelligence and Machine Learning research for more than 15 years and we're using our collective intelligence to help others learn, understand and grow using these new technologies in ethical and sustainable ways.

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