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Research & Publications

Technical papers, research notes, and documentation exploring defence-tech innovation, AI/ML methodologies, and systems architecture design.

๐Ÿ“ Google Drive 2025

NETRA: Threat Scoring & Digital Twin System

Technical documentation on building real-time threat scoring dashboards using digital twin simulation. Covers the integration of multi-sensor data fusion, terrain analysis, probabilistic anomaly detection, and UAV reconnaissance integration for IED detection.

๐Ÿ›ก๏ธ Digital Twin
Real-Time
Threat Scoring
Live Dashboard
5+
Sensor Signals
Multi-Source Fusion
360ยฐ
Awareness
UAV Integration
๐Ÿ“Route Sim
๐Ÿ”ฅHeatmaps
โš ๏ธAnomaly Detection
๐Ÿ“ŠProbability
Digital Twin Python Streamlit Anomaly Detection AI/ML
View Documentation
๐Ÿ“ Google Drive 2026

YAROK: System-Survivable Green Steel Architecture

Comprehensive research on Hydrogen-DRI steelmaking with Tri-Layer Energy Buffer design. Covers electrolyser optimization (75-80% utilization), water strategy via Permeate Offtake Model, ore beneficiation for Indian hematite, and oxygen monetization achieving CBAM-compliance at <0.4 tCOโ‚‚e/tonne.

๐ŸŒฑ Green Steel
75-80%
Electrolyser Util.
vs typical 30-45%
<0.4
tCOโ‚‚e/tonne
CBAM Compliant
โ‚น119Cr
Oโ‚‚ Revenue/yr
Hidden Value
โšกElectrical
๐ŸงชChemical (Hโ‚‚)
๐Ÿ”ฅThermal
Hโ‚‚-DRI Electrolysis Energy Systems CBAM Process Engineering
View Research Paper
๐Ÿ“ Google Drive 2026

Bittachon: Rebuilding Digital Trust Beyond Deepfake Detection

Research on multi-modal verification engine with three independent pillars: Biological Invariance (rPPG pulse detection), Digital Provenance (C2PA cryptographic validation), and Physical Consistency (audio-visual sync analysis). Features "Trust Timeline" โ€” an AI Nutrition Label for media authenticity verification.

๐Ÿ›ก๏ธ Trust Verification
๐Ÿ’“
Biological Invariance
rPPG Pulse Detection
๐Ÿ”
Digital Provenance
C2PA Validation
๐ŸŽฌ
Physical Consistency
SyncNet Analysis
rPPG C2PA WebAssembly Edge AI SyncNet Deepfake Detection
View Research Paper
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