If you are a mobile app developer, you may not have considered how artificial intelligence (AI) could improve the software you create. This article explores some of the ways AI can be used in mobile applications. Read on to discover more!
Language translations
Online language translations have been revolutionised by software such as Google Translate. However, this capability hasn't always been exploited by mobile apps. One major reason for this is the fact that mobile apps may wish to conserve the amount of data they use if they constantly have to utilise internet connectivity. However, AI can now be used to translate large portions of text without the need to access an online language directory or translation tool. Another advantage of using AI for language translation is the fact it can be accomplished in near real-time.
Improved search capabilities
Many mobile users would rather not have to open a browser and spend several moments typing in their search requests. AI is creating many ways of improving search capabilities. For example, by training an AI program using a database of images, products, barcodes, or other data – you can create an app that allows users to perform easy and instant searches by simply taking a photo of an item or product. The AI program will quickly identify the product before bringing up a range of search results. Alternatively, you could train AI to recognise sounds or audio so these can be easily searched for by humming or singing into the microphone on the mobile device.
Facial recognition
Facial recognition is an incredibly powerful tool for searching for specific information. By using a database of photos, an app developer can identify a person in the photo and retrieve a range of relevant information about that person. For example, an app could scan and identify a person's face within a series of photos. Based on the information it gathers from that photo, it would be possible to give that person a personal message via a dedicated application.
Image recognition
While many would find this useful on a desktop computer, image recognition is particularly helpful in a mobile app. For example, a personal fitness app could quickly scan a user's body to identify a specific muscle group and display relevant information about that body part within a dedicated app. Alternatively, an image search could be used to identify a group of images showing a single object – allowing the user to quickly find a particular object within a huge number of photos.
For more information, contact a company that offers artificial intelligence development.