Blockchain Transaction Optimization Using AI-Based Intent-Aware Sequencing

Project Abstract

Using machine learning patterns to sequence ledger transactions to minimize gas fees and transaction delays.

This system establishes a functional model demonstrating distributed consensus and high-security ledger integration. It provides research prototypes focused on addressing modern industrial requirements—ranging from operational technology safety to post-quantum signature verification.

Core System Features

• Distributed Consensus Architecture: Uses robust consensus strategies to achieve high-integrity data agreement.
• Cryptographic Safety Controls: Integrates SHA-256 and public-key cryptography to prevent spoofing or unauthorized ledger alterations.
• Practical Implementation: Developed as a model for university lab cell testing and local prototyping trials.