Maliklang-V3

Maliklang-V3

Offline Neuro-AI EEG Thought Decoder Engine

🏥 Healthcare
Unknown
Product Hunt

1

Product Hunt Upvotes

Sep 28, 2026

Launch Date

Sep 29, 2026

First Tracked

About

AI Summary

Maliklang-V3 is an offline Neuro-AI thought decoder that translates raw EEG brainwaves into synthetic speech for non-verbal patients in real-time, employing advanced security measures and real-time noise filtering. It is built using Python, FastAPI, SciPy, and Cryptography.

Maliklang-V3 is an independent, offline Neuro-AI thought decoder engine for non-verbal patients. It decodes raw EEG brainwaves into synthetic speech in real-time. Highlights: - 100% offline edge inference - SciPy real-time EEG noise filtering - Volatile RAM encryption using Fernet - Post-inference hard zero-fill RAM wipe - Secure async FastAPI bedside telemetry Built using Python, FastAPI, SciPy, and Cryptography.

Tags

Health & Fitness
Open Source
Artificial Intelligence
GitHub