Predictive Prefetching in Android with TensorFlow Lite

Building a lightweight sequential prediction model trained on anonymized navigation logs, converting to TFLite with dynamic quantization, running inference in a Jetpack Lifecycle-aware coroutine to prefetch fragments/data before the user taps, with concrete benchmarks on memory overhead, battery impact, and the cold-start bootstrap problem when the model has zero history