Strategically bridging the gap between Java, Python, Keras, and TensorFlow, I established a dual-server architecture. Python, Keras, and TensorFlow orchestrated backend analysis on a separate server, while a Java plugin directly interfaced with the Minecraft environment, channeling data to the analysis server through an intermediary SQL database.
Real-world scenarios substantiated the efficacy of this innovation, with the technology seamlessly countering cheating software.
This multifaceted project highlights my journey of learning in harmonizing technology, programming, and data manipulation.