How Does AI Impact Mobile Application Development?

Face Recognition: This feature is very popular on Android smartphones because of its simplicity and security. These systems use AI- and ML-based algorithms that recognize a person’s facial expression to unlock their phones and all the apps they have installed.

In the future, smartphone manufacturers will implement more advanced AI/ML to help identify people as they grow facial features such as glasses or a beard.

Search Engines for Mobile Phones: Voice search and voice commands are perhaps the most popular and widespread advancements in artificial intelligence/machine learning. Customers used to enter their queries into search boxes. Now it is as simple as asking your virtual assistant for help.

Instead of signing in to their computer or unlocking your phone, users can simply say “hey google what is the best restaurant near me?” This will provide them with the quick answer they need and direct them to your business. Voice command is a way to reply to text messages quickly and easily.

Smart Camera Apps: Custom android app developers and manufacturers of android mobile phones are making great strides in AI and machine learning. Advanced cameras are able to detect objects within the frame (e.g. faces, fireworks or food) and adjust the settings to create the best image.

Machine learning and artificial intelligence can now automatically recognize and enhance facial features to create outstanding portraits. Advanced features can count calories from a photo of food, or give information to businesses about the use of their products when photos are posted on social media.

Emotion Recognition: This is an emerging star in AI of android app development. Now, we are able to integrate ML & AI in mobile app development and capture micro- and macro-expressions. The software can now detect subtle variations in voice and body language, vocal inflections, and body language cues through image and voice data processing. These analytics can be used by companies to improve customer experiences, identify the need for a product/service or get new ideas for a new product.

Real-Time Translation: There are many translation apps. However, most of these apps cannot be used without internet access. AI could enable smartphones to transliterate and translate different languages in real-time without the need for an internet connection.

AI can be used to provide language instruction tools that allow sentences and phrases to quickly be translated, much like interpreters do. AI can adjust the latency of the translation tool. The user can also specify the time it takes for a spoken word to be translated. This is especially useful for languages with a longer translation time.