@hookedonturbo
🔧 1. System Architecture (Block Diagram)
┌─────────────────────────────┐
│ GT7 Guru Assistant 3.0 GUI │
└────────────┬────────────────┘
│
┌───────────▼────────────┐
│ User Input & Setup │◄────── Insert car data and current setup
└───────────┬────────────┘
│
┌───────────▼─────────────┐
│ 🔁 Auto Database Builder │
│ Creates/updates entries for each car_id │
│ with adjustable parameters, min/max │
│ Base values + progressive changes │
└───────────┬─────────────┘
│
┌───────────▼────────────┐
│ Telemetry Listener │
└───────────┬────────────┘
│
┌───────────▼────────────┐
│ Decryption Engine │
└───────────┬────────────┘
│
┌───────────▼────────────┐
│ Telemetry Parser │
└───────────┬────────────┘
│
┌───────────▼────────────┐
│ Database Logger │
└───────────┬────────────┘
│
┌───────────▼────────────┐
│ TensorFlow Models │
└───────────┬────────────┘
│
┌───────────▼────────────┐
│ LLM Engine (Gemma / GPT) │
└───────────┬────────────┘
│
┌───────────▼────────────┐
│ GUI Update & Interaction │
└────────────────────────┘
🧩 2. Auto Database Builder – Key Functionality
| Function | Description |
|---|
| car_id | Each car is uniquely identified |
| Base parameters of the car | Default setup (ride height, camber, LSD, gearbox, aerodynamics, etc.) |
| Min and max adjustable values | Dynamically detected and saved through the GUI |
| User-adjustable parameters | Entered in the GUI and stored for comparison and AI learning |
| Dynamic database | Continuously grows over time → improves the accuracy of AI setup suggestions |
✅ The more the assistant is used, the more
specific knowledge per car is accumulated and refined.
🧠 Effect on AI Behavior
This structure allows the LLM and TensorFlow models to:
- Understand the real limits of each car's setup (adjustment range)
- Detect which parameters have already been modified
- Adapt setup recommendations based on the car’s and driver’s historical behavior
