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Maliklang-V2
Distributed Genomic AI for offline Rural Cancer Screening
An offline-first distributed bio-computing engine designed to cross-reference human DNA strands (A, T, C, G) and track cancer mutations up to 5 years before physical tumor formation. Armed with full PWA service worker caching for zero-internet rural clinics and a military-grade volatile RAM wipe shield via ctypes.memset for complete HIPAA compliance.
Hey Hunters! I engineered Maliklang-V2—a distributed genomic AI engine built entirely on a keyboardless tablet stream. It allows offline early cancer anomaly tracking for rural clinics using custom PWA caching and a direct RAM decimation matrix for 100% HIPAA compliance. Excited to share it open-source (MIT) for humanity!
I am Shailendra Malik, and today I am incredibly proud to introduce Maliklang-V2.
Maliklang-V2 is a medical-grade Genomic AI platform specifically built to drive a healthcare revolution in rural and remote areas where internet access is zero and medical infrastructure is limited.
What makes Maliklang-V2 unique? 1. Military-Grade RAM Privacy: It executes lightning-fast cancer mutation scans (like BRCA1 and TP53) and securely wipes the RAM instantly after processing to safeguard patient data. 2. High-Speed FastAPI Architecture: Now deployed as a 24/7 live web service with zero external dependencies. 3. Social Impact First: Engineered for rural doctors to detect high-risk genomic anomalies instantly on basic tablets and devices.
We are 100% free, zero-budget, and built with pure passion for social change. I would love to hear your feedback, thoughts, and ideas on how we can expand this genomic AI engine to save more lives globally!
Thank you for your incredible support! 🇮🇳🚀
About Maliklang-V2 on Product Hunt
“Distributed Genomic AI for offline Rural Cancer Screening”
Maliklang-V2 was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #146 on the daily leaderboard. An offline-first distributed bio-computing engine designed to cross-reference human DNA strands (A, T, C, G) and track cancer mutations up to 5 years before physical tumor formation. Armed with full PWA service worker caching for zero-internet rural clinics and a military-grade volatile RAM wipe shield via ctypes.memset for complete HIPAA compliance.
Maliklang-V2 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-V2?
Maliklang-V2 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