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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.
Hi Product Hunt community! Maliklang-V3 is a fully independent, 100% offline Neuro-AI engine built to translate raw EEG brainwave signals into synthetic speech for non-verbal patients.
By running completely on the edge without external cloud reliance, it ensures zero latency and absolute medical data privacy, backed by a military-grade transient encryption shield and an automated post-inference RAM wipe.
I built this to break the boundaries of modern neural decoding. Excited to hear your feedback!
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About Maliklang-V3 on Product Hunt
“Offline Neuro-AI EEG Thought Decoder Engine”
Maliklang-V3 was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #113 on the daily leaderboard. 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.
Maliklang-V3 was featured in Health & Fitness (83.3k followers), Open Source (68.9k followers), Artificial Intelligence (479.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 202.8k products, making this a competitive space to launch in.
Who hunted Maliklang-V3?
Maliklang-V3 was hunted by Shailendra Kumar Singh . A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Shailendra Kumar Singh