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!

Hi Product Hunt community! 👋

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! 🇮🇳🚀

Maliklang-V2

Distributed Genomic AI for offline Rural Cancer Screening

Distributed Genomic AI for offline Rural Cancer Screening