How to Implement Artificial Intelligence in Mobile App Development
Pause for a moment, look sequentially back at the past 2 decades and note down what life was like in the year 1999. There’s no 24/7 internet availability, no Netflix binge-watching, and no smartphones. The technological transition has been massive, and it’s not getting slower anytime soon.
Artificial Intelligence has grown rapidly, and smartphone companies are incorporating its features into the hands of people on a significant scale. However, as a mobile developer, the successful utilization of AI features into applications requires a smart study of end-users’ behavior pattern recognition.
Following are some organic ideas for you to implement Artificial Intelligence in Mobile App Development:
This is probably the most creative way to make use of Artificial Intelligence in your applications. Through the application of Machine Learning at hand, you may train your chatbot to interact with the end-user on an above-basic level pro-actively. Also, this shouldn’t take long if you’re a passionate developer.
Initially, some of the mobile applications that introduced this feature are now multi-billion dollar companies, including Snapchat and Instagram. IR innovation is a technique that you can actively utilize to identify objects, license plates, and user appearances.
Introducing Virtual Assistants in home-gadgets had initially blown the AI industry with awe. Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana, and Google Assistant are some examples from the top of the line products.
Although implementing a smart AI assistant who operates on complex algorithms of machine learning and deep learning requires work, but we suggest you start small. For example, an AI-based app that can sense your sleeping routine and after a few days, endeavors to wake us up from bed in like manner.
Another smart idea to incorporate Artificial Intelligence into mobile applications is by creatively introducing voice recognition features. This could mean full-blown text-to-speech and speech-to-text conversion systems or minor features like locking/unlocking the phone through voice recognition.
Applications that solely thrive on their users’ interests and needs make full use of AI for personalization and providing suitable suggestions to their users. Netflix, SoundCloud, Spotify, and YouTube are the top examples.
If the end-users of your application can appreciate smart and personalized suggestions, this feature is something to think about.
On final thoughts, we hope you’re able to smartly incorporate the features of advanced AI to your mobile apps, one or more ideas above may also help.