Metadata-Version: 2.4
Name: dynamic-learning-model
Version: 1.2
Summary: A Dynamic Learning Model for processing NLP queries using hybrid AI and reasoning.
Home-page: https://github.com/VigneshT24/Dynamic_Learning_Model
Author: Vignesh Thondikulam
Author-email: vignesh.tho2006@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: nltk
Requires-Dist: spacy
Requires-Dist: better_profanity
Requires-Dist: word2number
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)
![SQLite](https://img.shields.io/badge/SQLite-003B57?style=flat-square&logo=SQLite&logoColor=white)

# Dynamic Learning Model
The Dynamic Learning Model (DLM) is a hybrid AI system designed to learn, adapt, and intelligently respond to user queries. It combines natural language understanding with structured reasoning to improve over time as it interacts with users.

Key capabilities include:

* FAQ Handling: Learns and responds to frequently asked questions based on the knowledge it has been trained on.

* Chain-of-Thought (CoT) Reasoning: Performs clear, step by step logic to solve non-ambiguous arithmetic and unit conversion problems.

* Custom Knowledge Integration: DLM is fully extensible. You can initialize it with an empty SQL database and train it with your own domain-specific knowledge.

Whether you're building a student support bot, a domain-specific assistant, or an adaptive Q&A system, DLM offers a flexible foundation to power your intelligent applications

* This model uses SpaCy, SQLite, & NLTK for many of its functions

NOTICE: This is a public package, to install it, run: **pip install dynamic-learning-model**


![image](https://github.com/user-attachments/assets/340dc69a-8374-45df-ac1e-82431c5111f2)


![image](https://github.com/user-attachments/assets/422f1045-07bc-4ddf-ae28-9f5731324b93)
