diff --git a/.gitignore b/.gitignore index 56de106..6330536 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1 @@ -Nothing to output - the change list contains only a source/config file (README.md) with no build artifacts, dependencies, or temp files that need to be ignored. \ No newline at end of file +Nothing needs to be added to .gitignore since only a source file (index.html) was added and there are no build artifacts, dependencies, or temporary files in the changes. \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 0000000..da7556e --- /dev/null +++ b/index.html @@ -0,0 +1,1459 @@ + + + + + + Edge-TinyML v1.0 — Military-Grade Offline Voice Assistant + + + + +
+
+ +
Initializing Edge-TinyML
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+
Military-Grade OFFLINE Voice Assistant
+

Edge-TinyML v1.0

+

100% OFF-GRID · Zero Cloud · Zero Telemetry · Zero Compromises

+ +
+
+
~17ms
+
KWS Latency
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+
+
42MB
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RAM Footprint
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+
+
21/21
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Attacks Blocked
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100%
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Offline
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+

Core Capabilities

+

Engineered for military-grade robustness and privacy standards

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⚡
+

Ultra-Low Latency KWS Engine

+

Keyword spotting engine with sub-20ms latency using a 77KB quantized model. Trained on Google Speech Commands dataset with TensorFlow Lite Micro runtime.

+ ~17ms Measured +
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+
🧠
+

5-Layer Strategic Intelligence

+

Connects KWS to cognitive core through intent classification, context vector cache, emotion detection, memory retrieval, and command routing.

+ 5 Intelligence Layers +
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+
💡
+

Cognitive LLM Core

+

TinyLlama 1.1B GGUF quantized model for complex command processing. Fully on-device inference with no cloud dependencies.

+ 1.1B Parameters +
+ +
+
🔒
+

AES-256 Data Vault

+

All conversation history and sensitive configuration encrypted at rest with military-grade AES-256 encryption.

+ AES-256 Encrypted +
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+
🎤
+

Virtual-Mic Attack Defense

+

Detects and blocks software-injected audio streams attempting to spoof wake-word activation.

+ Active Defense +
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+
🖥️
+

Multi-Platform Deployment

+

Deploy from embedded MCU (ESP32, Raspberry Pi ≤3W) to Windows enterprise servers (PID 4512 with triple auto-restart) to Android via Termux.

+ MCU → Desktop → Server +
+ +
+
📊
+

Self-Optimizing Core

+

Auto-tuner and memory sentinel with configurable 0.9GB memory ceiling. Resource-aware model switching.

+ 0.9GB Ceiling +
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🔄
+

Enterprise Service Hardening

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Runs as PID 4512 with triple auto-restart on 30-second cadence. Service death does not equal assistant death.

+ 99.98% Uptime +
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+
📡
+

Zero Exfiltration Guarantee

+

Verified via packet sniffer. No data leaves the device under any operational condition.

+ 0% Data Leakage +
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+
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+

Three-Stage Inference Pipeline

+

Genius-level hybrid architecture from wake word to cognitive response

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+
01
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KWS Stage 77 KB

+

Microphone input processed through keyword spotting model with confidence threshold filtering. Sleep mode activated when below threshold.

+
+ Latency: ~17ms + Model: TFLite Micro + Threshold: 0.55–0.70 +
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+
02
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+

Strategic Intelligence 5-Layer

+

Five-layer intelligence pipeline connecting KWS to cognitive core: Intent Classification → Context Vector Cache → Emotion Detection → Memory Retrieval → Command Routing.

+
+ Layer 1: Intent + Layer 2: Context + Layer 3: Emotion + Layer 4: Memory + Layer 5: Routing +
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03
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+

Cognitive LLM 1.1B GGUF

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TinyLlama 1.1B GGUF quantized model processes routed commands and generates responses entirely on-device.

+
+ Model: TinyLlama + Size: 1.1B Params + Format: Q4 Quantized +
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+

Competitive Benchmark

+

How Edge-TinyML compares to industry leaders

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CapabilityEdge-TinyMLAlexa / GoogleOther OSS
Privacy✓ 100% offline✗ Cloud-only⚠ Mixed
Latency✓ ~17ms KWS⚠ 200–500ms⚠ 10–50ms
Security✓ 21/21 blocked⚠ Undisclosed⚠ Varies
Deployment✓ MCU → Desktop → Server✗ Cloud tethered⚠ Embedded only
Cost✓ Free & Open Source✗ Subscription⚠ Varies
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Security Hardening

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Tested to destruction, proven in silence

+
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✓ Destructive-Command Shield

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100% block rate on all 21 tested destructive payloads. No shell injection, file deletion, or privilege escalation makes it through.

+
21/21 BLOCKED
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+ +
+

✓ Virtual-Microphone Attack Defense

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Detects and blocks software-injected audio streams that attempt to spoof wake-word activation.

+
ACTIVE DEFENSE
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+ +
+

✓ Sensitive-Directory Lockdown

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SSH keys, Documents, and Downloads directories are read-protected at the service layer. Traversal attempts logged and blocked.

+
READ-PROTECTED
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+ +
+

✓ Zero Exfiltration Guarantee

+

Verified via packet sniffer. No data leaves the device under any operational condition.

+
PACKET VERIFIED
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+ +
+

✓ Enterprise Service Hardening

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Runs as PID 4512 with triple auto-restart on 30-second cadence. Service death does not equal assistant death.

+
99.98% UPTIME
+
+ +
+

✓ AES-256 Data Vault

+

All conversation history and sensitive config encrypted at rest with military-grade encryption.

+
AES-256 ENCRYPTED
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+
+
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+
+

Mission-Critical Use Cases

+

Deploy once, forget forever

+
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+

Enterprise Desktop

+
    +
  • 12 hardened OS-automation commands
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  • Windows service (PID 4512)
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  • Triple auto-restart (30s)
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  • Resource-aware model switching
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+
KPI: 99.98% Uptime
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+ +
+

Privacy-First Edge AI

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  • Zero-cloud pipeline
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  • AES-256 data vault
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  • Raspberry Pi ≤3W footprint
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  • On-device wake-word trainer
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KPI: 0% Data Leakage
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Autonomous Sys-Admin

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  • Self-optimising inference core
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  • 0.9GB memory ceiling
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  • Hot-plug plugin ecosystem
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  • Cross-platform state sync
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KPI: ~17ms Latency
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+

Global Hardening Report

+

CIS-style torture suite validation

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+
🔥
+

CPU Saturation

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100% load × 60 min stress test with zero latency spikes recorded during sustained operation.

+ 0 SPIKES +
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+
💾
+

Memory Starvation

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1GB free / 8GB total memory constraint testing with zero crashes or memory leaks detected.

+ 0 CRASHES +
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+
🛡️
+

Security Hammer

+

21 destructive payloads tested with 100% block rate across all attack vectors.

+ 100% BLOCKED +
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+
🌊
+

Flood Attack

+

25 req/s burst request flood testing with conservative thread count protection.

+ TESTED +
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+
⏰
+

Time Warp

+

4 clock-drift extreme scenarios tested with system time manipulation defense active.

+ SYNC PRESERVED +
+ +
+
📁
+

File Corruption

+

Integrity verification system tested and validated against corruption attacks.

+ VERIFIED +
+
+
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+
+

Quick Start

+

Get running in minutes

+
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+
+
+
+
+
+
+ 
# Clone repository
+git clone https://github.com/Ariyan-Pro/Edge-TinyML-Project.git
+cd Edge-TinyML-Project
+
+# Create virtual environment
+python -m venv edge-tinyml-prod
+
+# Activate (Windows PowerShell)
+.\edge-tinyml-prod\Scripts\Activate.ps1
+
+# Install dependencies
+pip install -r requirements.txt
+
+# Verify system health
+python -c "from wake_word_detector import WakeWordDetector; print('Ready')"
+
+# Start listening (100% offline)
+from wake_word_detector import WakeWordDetector
+detector = WakeWordDetector()
+detector.start_listening()
+# Say "computer" to activate!
+
+
+
+ + +
+
+

Documentation

+

Comprehensive guides and references

+
+ +
+ +

Installation Guide

+

Bare-metal → Docker → Android deployment

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Configuration Manual

+

200+ flags and tuning tables

+ + +

Performance Verification

+

Radical transparency on verified claims

+ + +

Contributing Guide

+

Join the silent revolution

+ + +

Dependencies

+

Complete dependency documentation

+ + +

License

+

MIT License details

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+
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