AI-Powered Optimization Layer

The AI-powered layer is responsible for real-time monitoring, bandwidth allocation, and automated optimization based on network conditions.

AI-Driven Traffic Analysis

• Uses machine learning algorithms to analyze real-time bandwidth consumption, congestion levels, and user network conditions.

• Predicts optimal bandwidth allocation strategies to ensure smooth performance.

• Prevents bottlenecks and reduces lag in network-dependent applications.

Dynamic Resource Allocation

• Adjusts bandwidth-sharing parameters autonomously based on network load and user activity.

• Prevents overutilization by ensuring optimal bandwidth usage.

• Guarantees that users retain priority over their own network resources while still contributing to the ecosystem.

Decentralized AI Decision-Making

• Uses Federated Learning to train AI models without exposing user data to centralized servers.

• AI models learn from user activity while keeping all sensitive data encrypted.

• Ensures privacy-first AI optimization that does not compromise security.