🌌 ILLI OS | Neural Intelligence Interface
ILLI OS is a high-performance, local-first AI assistant for Windows. It features a cinematic Ghost-Protocol HUD designed with a "Natural Cyber" palette, providing real-time system automation and intelligent interaction without any paid API dependencies.
🚀 Features (No-API Required)
- Neural Core: Immersive High-Performance Tkinter HUD with 3D animated orb.
- Voice Command Center: Offline Speech Recognition with Adaptive Voice Training.
- OS Command Center: Deep hardware integration for process and file management.
- Tactical Biometrics: Real-time CPU, RAM, and Network energy bars with Hex-Grid HUD.
- Ghost Comms: Native WhatsApp and Email automation.
🛠️ Tech Stack
- Frontend: Python Tkinter (Local Native GUI)
- Backend: Python 3.13
- System: psutil, subprocess, os
- Voice: speech_recognition, pyttsx3
🔧 Installation
Standard
pip install illi-ai-professional
Developer Setup
git clone https://github.com/Farhanillahiclass/illi-ai-assistant.git
pip install -r requirements.txt
streamlit run ILLI_AI_PROFESSIONAL_FINAL.py
Made with 🧪 Muhammad Farhan
1 maintainer
Metadata
1 maintainer
Release files for illi-ai-professional 1.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| illi_ai_professional-1.2.5.tar.gz | 8.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| illi_ai_professional-1.2.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.6 kB
Release files / illi_ai_professional-1.2.5.tar.gz
| Download URL | illi_ai_professional-1.2.5.tar.gz |
|---|---|
| Size | 8.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.13.5
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Release files / illi_ai_professional-1.2.5-py3-none-any.whl
| Download URL | illi_ai_professional-1.2.5-py3-none-any.whl |
|---|---|
| Size | 8.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
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