Metadata-Version: 2.4
Name: aillmcleaner
Version: 0.1.0
Summary: An AI-powered Python library for context-aware data cleaning using local LLMs
Home-page: https://github.com/spanigrahidev/aillmcleaner
Author: Sujoy Panigrahi
Author-email: sujoypanigrahi4@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=1.5.0
Requires-Dist: requests>=2.28.0
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Dynamic: author-email
Dynamic: classifier
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# AILLMClean 🧹✨

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)

An AI-powered Python package architecture for intelligent, context-aware automated data cleaning using both Local LLMs (Ollama) and high-performance Cloud AI APIs (Google Gemini, Groq, OpenAI).

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## 🚀 Key Architectural Advantages
- **Universal AI Engine:** Seamlessly switch between local offline models and cloud-based hyper-fast APIs.
- **Hybrid Deployment:** Run 100% locally via Ollama for complete data privacy, or use Cloud APIs for resource-constrained endpoints (like mobile/servers).
- **Context-Aware Imputation:** Resolves missing entries intelligently by treating surrounding features as semantic contextual meta-layers.

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## 📦 Installation & Setup

### 1. Setup Library Dependencies
```bash
pip install -r requirements.txt
