Description:
Build an AI system that optimizes network requests, data fetching, and API calls based on usage patterns and network conditions. The system should reduce latency and bandwidth usage.
Technical Details:
Implement network optimization using ML models on request patterns. Build request batching and prioritization. Create adaptive quality system. Integrate with network layer.
Acceptance Criteria:
Latency reduces by 30%, bandwidth usage reduces by 25%, adaptation is smooth, and user experience improves.
Description:
Build an AI system that optimizes network requests, data fetching, and API calls based on usage patterns and network conditions. The system should reduce latency and bandwidth usage.
Technical Details:
Implement network optimization using ML models on request patterns. Build request batching and prioritization. Create adaptive quality system. Integrate with network layer.
Acceptance Criteria:
Latency reduces by 30%, bandwidth usage reduces by 25%, adaptation is smooth, and user experience improves.