Cancer prediction model using machine learning.

Federated learning for privacy-preserving distributed training.

Optimized algorithm for federated learning efficiency.

Privacy validation without raw data exposure.(Zero-Knowledge Proofs)

Secure storage with IPFS and privacy protection techniques.

Real-time data collection with lightweight IoT nodes.

Decentralized governance for project management.

Scalable, open-source development for community-driven growth.

Customization for local healthcare environments.

Enhanced model accuracy while preserving privacy.