Proud to share that Maliklang-V3 is officially live on GitHub! ๐ง ๐
Moving completely away from V1 and V2, Version 3 is a fully independent, decentralized, and offline Neuro-AI ecosystem built to assist critically ill or non-verbal patients by translating raw EEG brainwave signals into synthetic human speech in real-time.
๐ ๏ธ The 6-File Core Infrastructure Suite:
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neuro_demodulator.py– SciPy Butterworth filter that instantly strips away ocular and muscular noise spikes from raw EEG streams. -
neuro_crypt.py– A military-grade privacy shield using transient Fernet keys that encrypts neural data in volatile memory and triggers a hard zero-fill RAM wipe (hard_volatile_wipe) immediately post-inference to prevent data bleeding. -
thought_decoder.py– Advanced 3-Zone dynamic classifier (Active Red / Relax Green / Deep Blue) that maps brainwave amplitudes to clear text/voice healthcare intents. -
neuro_bridge.py– High-speed, async FastAPI application gateway that enables secure cloud transit and remote monitoring interfaces. -
neuro_discovery.py– An anomaly detection engine that captures hyper-normal brain states and logs medical breakthroughs. -
.sys_neuro_vault.dat– A completely obfuscated, hidden encrypted storage file to archive secure discovery matrix logs locally.
๐ก๏ธ Privacy & Self-Healing Architecture
Built completely for high-reliability healthcare deployments, it features an automated fault-tolerant self-healing logic that intercepts crashes and auto-restores infrastructure pipelines in seconds.
๐ GitHub Repository
Check out the full open-source architecture here:
https://github.com
Built from scratch using Python, FastAPI, SciPy, and Cryptography. I would love to hear feedback from fellow deep-tech architects, systems engineers, and neuro-tech enthusiasts on this architecture!