# Optimus Research Center (v1.1.0 Standalone)

**Optimus Research Center** is an independent, modular scientific research technology center composed of two interconnected, standalone laboratories:
1. **Algorithm & Technology Research Lab** (Internal name: `Algorithm & Technology Research Lab`, Version: `1.1.0`)
2. **AI Research & Development Lab** (Internal name: `AI Research & Development Lab`, Version: `1.1.0`)

### Version Specification (ORC-31 Normalized)
- **Application & Laboratories Version:** `1.1.0` (`app.__version__`, `settings.VERSION`)
- **Portable Packager Utility Version:** `1.0.0-m22d` (`settings.PACKAGER_VERSION`, `scripts/package_laboratory.py`)
- **External Integration Contract Protocol Version:** `1.0.0` (`settings.PROTOCOL_VERSION`, `TitanAdapter` / `NeuroLabAdapter` contracts)

> **CRITICAL ARCHITECTURAL GUARANTEE:**
> This software is strictly independent of Digital Optimus (`C:\xampp\htdocs\Digital Optimus`). No active network connections, shared memory, code injection, or dependencies exist between this center and Digital Optimus in Version 1.1.0.

---

## Key Capabilities

### 1. Algorithm & Technology Research Lab
- **Optimization Benchmarking:** Genetic Algorithms, Bayesian Surrogate optimization, Simulated Annealing, and Mathematical Simplex/BFGS optimization.
- **Predictive Regressors:** Ridge Regression, Gradient Boosting, Exponential Smoothing, and KNN.
- **Search & Planning:** A* 2D grid search, Dijkstra shortest path, and Critical Path Method (CPM/PERT).
- **Anomaly Detection:** Isolation Forest and Rolling Z-Score online outlier detectors.
- **Multi-Sector Technology Inquiries:** Structured analysis across 12 strategic sectors (AI, Robotics, AgTech, Energy, Semiconductors, etc.).
- **Quantitative & Financial Simulation:** Historical data import, technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands, ATR), strict non-leaking Walk-Forward Analysis (WFA), and transaction-cost backtesting. *(Real trading is prohibited by architecture)*.
- **Commercial Opportunity Discovery:** Systematic registration, feasibility scoring, and validation matrix for emerging tech.

### 2. AI Research & Development Lab
- **Model Training:** Local training loops for PyTorch Multi-Layer Perceptrons (MLP) and Scikit-Learn tree ensembles with weights checkpointing (`.pt`, `.joblib`).
- **Regression Auditing:** Version-over-version performance gating to prevent metric regressions.
- **Architecture Catalog & Memory:** Local Dense Vector Memory for RAG (Cosine similarity retrieval) and Hybrid Decision systems.
- **Specialized AI Domains:** Project templates for 8 domains (Financial, Agricultural, Industrial, Enterprise, Robotics, Scientific, Automation, Software Development).
- **Robotics Simulation:** Kinematic Kalman Filter state estimation and obstacle grid navigation with physical hardware safety lock.

### 3. Shared Scientific Memory & Coordinator
- **Persistence:** SQLite with WAL mode storing projects, hypotheses, experiments, runs, artifacts, and evidence.
- **Audit & Evidence:** Cryptographic SHA-256 fingerprinting for every report and artifact.
- **Task Pipeline:** Priority-driven queue (Priority 1 to 10), state transitions, and crash recovery.
- **Inter-Lab Collaboration Protocol:** Formal contract for transferring optimization techniques from Lab 1 to tune and evaluate models in Lab 2.
- **Visual Interface:** Modern dark glassmorphic dashboard served natively on port 8550.

---

## Quick Start

### 1. Requirements
- Windows OS
- Python 3.11+
- Dependencies listed in `requirements.txt`

### 2. Launching the Research Center
```cmd
start.bat
```
Or via terminal:
```powershell
python run.py
```
Open your browser at: **`http://127.0.0.1:8550`**

### 3. Stopping the Services
```cmd
stop.bat
```

### 4. Running the Complete Verification Suite
```cmd
run_tests.bat
```
Or run pytest and scenarios directly:
```powershell
python -m pytest tests -v
python run_scenarios.py
powershell -ExecutionPolicy Bypass -File scripts\verify_optimus_untouched.ps1
```

For full details, audit records, and verification checklists, refer to [`RESEARCH_CENTER_BUILD_REPORT.md`](file:///C:/OptimusProjects/OptimusResearchCenter/RESEARCH_CENTER_BUILD_REPORT.md).