I'm developing a mobile application and want to leverage AI to provide a smarter, more personalized user experience, with a focus on on-device processing to ensure privacy and offline functionality. What are the most practical and efficient ways to integrate AI/ML capabilities directly into mobile apps (iOS/Android)? I'm particularly interested in frameworks like TensorFlow Lite, Core ML, or ML Kit, and real-world examples of how they are used to achieve features like intelligent content recommendations, real-time image/text analysis, predictive input, or adaptive UI. What are the key considerations for model optimization (size, performance), data privacy, and the trade-offs between on-device and cloud-based AI for common mobile app functionalities?
I'm developing a mobile application and want to leverage AI to provide a smarter, more personalized user experience, with a focus on on-device processing to ensure privacy and offline functionality. What are the most practical and efficient ways to integrate AI/ML capabilities directly into mobile apps (iOS/Android)? I'm particularly interested in frameworks like TensorFlow Lite, Core ML, or ML Kit, and real-world examples of how they are used to achieve features like intelligent content recommendations, real-time image/text analysis, predictive input, or adaptive UI. What are the key considerations for model optimization (size, performance), data privacy, and the trade-offs between on-device and cloud-based AI for common mobile app functionalities?