C.O.R.A

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  Cognitive Operations & Reasoning Assistant
  ================================================================
  Version: 1.0.0
  Unity AI Lab
  Website: https://www.unityailab.com
  GitHub: https://github.com/Unity-Lab-AI
  Contact: unityailabcontact@gmail.com
  Creators: Hackall360, Sponge, GFourteen
  ================================================================

Version 1.0.0 | 75+ Python Files | Unity AI Lab 2025

A Windows 11 AI-powered personal assistant with full autonomous capabilities: visual boot display, dynamic AI responses, task management, knowledge base, voice input/output, vision analysis, image generation, and live system monitoring.

Try the Web Version: unityailab.com/CORA (requires local Ollama)

What's New in v1.0.0

Visual Boot Display - Cyberpunk-themed boot screen with waveform visualization
Dynamic AI Responses - CORA generates unique responses via Ollama (no hardcoded phrases)
Live System Stats - Real-time CPU, RAM, GPU, VRAM, Disk monitoring during boot
Kokoro TTS - High-quality neural voice synthesis with af_bella voice
Image Generation - AI-generated art using Pollinations Flux model
Full Location Announcement - City, State, Country announced at boot
Persistent Boot Display - Window stays open with live stats after boot
Web Version - Full CORA in your browser with backend terminal

Web Version

Run CORA in your browser at unityailab.com/CORA

Web Features

Backend Terminal - Shows Ollama/model checks like CORA.bat
Live Boot Sequence - All 18 phases with real checks
Real System Stats - Via stats_server.py on localhost:11435
CORA's Full Personality - Edgy, profane, sarcastic responses
Camera/Screenshot Analysis - Uses llava for vision
Ambient Awareness - Proactive interjections based on context
Image Generation - Pollinations Flux integration
YouTube Playback - Search and embed videos

Web Requirements

Ollama running locally (ollama serve)
Models: dolphin-mistral:7b, llava, qwen2.5-coder:7b
Stats Server (optional): python services/stats_server.py

Backend Terminal

Click [ BACKEND TERMINAL ] to see:

CORA ASCII header
Ollama status check
Model availability (with pull commands if missing)
API gate checks (Kokoro TTS, Weather)
First-time setup notice

Quick Start

Full Boot (Recommended)

python src/boot_sequence.py

GUI Mode

python src/gui_launcher.py

CLI Mode

python cora.py

Quick Boot (No TTS)

python src/boot_sequence.py --quick

Boot Sequence

When CORA boots, she runs a 10-phase diagnostic with TTS announcements:

Phase	Check	What Happens
1	Voice Synthesis	Kokoro TTS initialization
2	AI Engine	Ollama connection check
3	Hardware Check	CPU, RAM, GPU, VRAM stats
4	Core Tools	Memory, Tasks, Files, Browser
5	Voice Systems	STT, Echo Filter, Wake Word
6	External Services	Weather, Location, Notifications
7	News Headlines	Top 3 headlines from Google News
8	Vision Test	Screenshot & webcam capture
9	Image Generation	AI art via Pollinations Flux
10	Final Check	Summary & readiness status

CORA generates her own unique responses for each phase using Ollama AI.

Features

Visual Boot Display

Two-column layout: Status panel + Scrolling log
Audio waveform visualization during speech
Color-coded status indicators (green/yellow/red)
Live updating system stats panel
Cyberpunk/goth dark theme

Task Management

Add, list, complete, delete tasks
Priority levels (1-10)
Due dates and reminders
Notes and status tracking
Search functionality
Undo last delete

Knowledge Base

Learn facts with tags
Recall by tag or search
Persistent storage

AI Integration

Ollama-powered chat (llama3.2, llava)
Dynamic boot responses via AI
Context-aware conversations
Vision/image analysis via llava
Image generation via Pollinations

Voice Systems

TTS Output: Kokoro neural TTS (af_bella voice)
Emotion-aware speech with mood tracking
STT Input: Speech recognition with wake word detection
Wake words: "cora", "hey cora", "yo cora", "okay cora"
TTS Mutex: Prevents overlapping speech across processes

System Tools

Screenshot capture (3840x2160 support)
Webcam capture and vision analysis
Hotkey support
Image generation (Pollinations)
Browser control
Reminders and calendar integration
Live system monitoring (CPU, RAM, GPU, VRAM, Network)

Commands

Task Management

Command	Description
`add <text>`	Create new task
`list` / `ls`	Show all tasks
`list pri`	Sort by priority
`done <id>`	Mark complete
`delete <id>`	Remove task
`pri <id> <1-10>`	Set priority
`due <id> <date>`	Set due date
`note <id> <text>`	Add note
`search <query>`	Find tasks
`today`	Show due/overdue
`undo`	Restore deleted

AI & Voice

Command	Description
`chat <msg>`	Talk to CORA
`speak <text>`	TTS output
`see [question]`	Camera vision
`imagine <desc>`	Generate image

System

Command	Description
`time`	Current time
`weather`	Weather info
`screenshot`	Capture screen
`backup`	Save data

Requirements

Python 3.10+
Ollama (for AI)
NVIDIA GPU (recommended)
mpv (optional, for YouTube playback)

Install

pip install -r requirements.txt

Ollama Setup

winget install Ollama.Ollama
ollama pull llama3.2
ollama pull llava

mpv Setup (Optional - for YouTube)

mpv is optional - only needed for YouTube playback. CORA prompts you if missing.

Download and Extract:

Download: https://sourceforge.net/projects/mpv-player-windows/files/64bit/
Extract .7z/.zip to ./tools/ folder
CORA auto-detects mpv.exe (any subfolder works)

Option 2: Package Manager

winget install mpv
# or
choco install mpv
# or
scoop install mpv

Project Structure

C.O.R.A/
├── src/
│   ├── boot_sequence.py     # Main boot with TTS
│   ├── cora.py              # CLI application
│   └── gui_launcher.py      # GUI launcher
├── ui/
│   ├── boot_display.py      # Visual boot display with waveform
│   ├── app.py               # Main GUI application
│   ├── camera_feed.py       # Live webcam window
│   └── panels.py            # Task/Settings/Knowledge panels
├── voice/
│   ├── tts.py               # Kokoro TTS engine (af_bella)
│   ├── stt.py               # Speech recognition
│   ├── commands.py          # Voice command processing
│   └── wake_word.py         # Wake word detection
├── ai/
│   ├── ollama.py            # Ollama API client
│   └── context.py           # Context management
├── cora_tools/              # CORA's Python tool modules
│   ├── image_gen.py         # Pollinations AI image gen
│   ├── screenshots.py       # Screen/window capture
│   ├── tasks.py             # Task management
│   ├── memory.py            # Working memory
│   ├── calendar.py          # Calendar & events
│   ├── media.py             # YouTube & media control
│   └── ...                  # 20+ tool modules
├── tools/                   # Downloaded binaries ONLY
│   └── mpv/                 # mpv player (extract here)
├── services/
│   ├── weather.py           # Weather API (wttr.in)
│   ├── location.py          # IP geolocation
│   └── presence.py          # Webcam presence detection
├── config/
│   └── settings.json        # Configuration
├── data/
│   ├── images/              # Generated images
│   └── camera/              # Camera captures
└── READMEs/
    ├── UserGuide.md         # User documentation
    └── NerdReadme.md        # Developer documentation

Note: cora_tools/ = Python source code. tools/ = downloaded binaries only (mpv, ffmpeg).

Hardware Detection

Component	Method
CPU	psutil.cpu_percent()
RAM	psutil.virtual_memory()
Disk	psutil.disk_usage()
GPU	nvidia-smi subprocess
VRAM	nvidia-smi memory query
Network	psutil.net_if_stats()
Camera	OpenCV VideoCapture

Recent Updates (v1.0.0)

Visual Boot Display with cyberpunk theme
Dynamic AI responses via Ollama for all boot phases
Live system stats panel with 1-second refresh
Kokoro TTS with af_bella neural voice
Image generation test creates AI art during boot
Full location announcement (City, State, Country)
Waveform visualization during TTS playback
GPU detection via nvidia-smi (RTX 4070 Ti SUPER tested)
75+ Python files across all modules

Documentation

File	Purpose
README.md	Overview & quick start
SETUP.md	Installation guide
HOW_TO_USE.md	Simple user guide
ARCHITECTURE.md	Technical architecture
READMEs/UserGuide.md	Full user docs
READMEs/NerdReadme.md	Developer docs

Roadmap

Phase 1: CLI Task Manager
Phase 2: Kokoro TTS + Emotion
Phase 3: CustomTkinter GUI
Phase 4: Voice Input (STT)
Phase 5: Boot Diagnostics
Phase 6: Vision/Camera
Phase 7: Visual Boot Display + Dynamic AI
Phase 8: Auto-updater + Installer

License

Unity AI Lab - 2025

C.O.R.A v1.0.0 - Cognitive Operations & Reasoning Assistant Last Updated: 2025-12-25 Built by Unity AI Lab

Name		Name	Last commit message	Last commit date
Latest commit History 201 Commits
.claude		.claude
.github/workflows		.github/workflows
READMEs		READMEs
ai		ai
backups		backups
config		config
cora_tools		cora_tools
data		data
docs		docs
models		models
services		services
src		src
ui		ui
voice		voice
web		web
.gitignore		.gitignore
ARCHITECTURE.md		ARCHITECTURE.md
CORA.bat		CORA.bat
FINALIZED.md		FINALIZED.md
HOW_TO_USE.md		HOW_TO_USE.md
LICENSE		LICENSE
README.md		README.md
SETUP.md		SETUP.md
SKILL_TREE.md		SKILL_TREE.md
TODO.md		TODO.md
env.example		env.example
requirements.txt		requirements.txt

License

Unity-Lab-AI/CORA

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C.O.R.A

What's New in v1.0.0

Web Version

Web Features

Web Requirements

Backend Terminal

Quick Start

Full Boot (Recommended)

GUI Mode

CLI Mode

Quick Boot (No TTS)

Boot Sequence

Features

Visual Boot Display

Task Management

Knowledge Base

AI Integration

Voice Systems

System Tools

Commands

Task Management

AI & Voice

System

Requirements

Install

Ollama Setup

mpv Setup (Optional - for YouTube)

Project Structure

Hardware Detection

Recent Updates (v1.0.0)

Documentation

Roadmap

License

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