README.md

metadata

license: mit
tags:
  - offline-ai
  - code-generation
  - low-resource
  - education

👻 Ghost Codex (Offline AI)

Ghost Codex is a lightweight, offline code assistant designed to run on legacy hardware (Windows XP/7, School Lab Computers) without internet access.

It uses a TF-IDF Neural Retrieval mechanism instead of heavy Transformers, allowing it to run instantly with <50MB RAM usage.

📂 Project Structure

• ghost_brain.pkl: The pre-trained AI model (11,000+ coding patterns).
• ghost_coder.py: The inference app. Runs on any PC with Python/WinPython.
• rosetta_code_dataset.csv: The training dataset covering 22 major algorithms in Python, C++, and Java.

🚀 How to Run (Offline)

1. Download ghost_coder.py and ghost_brain.pkl.
2. Put them on a USB stick with Portable Python.
3. Run python ghost_coder.py.
4. Ask for code (e.g., "star pattern in C++").