AI-Integrated MK85 Helmet Build
An advanced edge-computing wearable prop fabrication project. Featuring a fully offline local AI voice assistant, custom Python logic, real-time speech synthesis, and Arduino-driven servo mechanics.
AI-Integrated MK85 Helmet Project
The Integration Pipeline
01. Structural Shell & Mechanics
Fabricating high-durability multi-part armor components optimized for internal servo placement, clean linkages, and ergonomic wearability.
02. Local AI & Speech Pipeline
Configuring an offline AI voice assistant running local LLM logic and Kokoro TTS speech synthesis without any cloud dependencies.
03. Microcontroller & Servo Integration
Wiring custom Arduino routines to translate software triggers into precise multi-servo faceplate opening, closing, and LED eye lighting sequences.
04. Autonomous Testing & Tuning
Iterative bench testing of speech recognition triggers, response latency, and mechanical actuation synchronization.
Technical Specifications
| Project Classification | Wearable Prop Engineering, Edge AI & Microcontroller Integration |
|---|---|
| AI & Software Stack | Local Offline LLM, Python Voice Pipeline, Kokoro TTS Engine |
| Hardware Architecture | Arduino Microcontroller, Servo Actuation, Custom LED Drivers |
| Presentation Standard | Interactive Autonomous Display / Wearable Tech Prop |
Key Build Highlights
- Fully offline local AI architecture ensuring complete data privacy and zero cloud latency.
- Real-time voice-activated faceplate mechanics driven by custom Python-to-Arduino communication.
- High-fidelity Kokoro TTS speech synthesis providing immediate audio feedback from the helmet.
- Clean internal component layout designed for easy maintenance, calibration, and future hardware expansion.
AI Demonstration Footage
Live test footage showcasing offline voice command processing and mechanical servo actuation.