In recent years, the integration of artificial intelligence into mobile applications has become increasingly popular. Traditionally, many developers relied on cloud-based APIs to handle AI tasks, sending prompts to the server and waiting for responses. However, this approach can introduce latency and dependency on internet connectivity.
This article explores how developers can leverage Flutter to run AI models directly on mobile devices. By executing models locally, applications can achieve faster response times and improved user experiences.
We will discuss practical examples and use cases where running AI models on-device can enhance functionality, such as real-time image recognition and natural language processing. Flutter's capabilities make it an ideal framework for such implementations.