CLIPS programs I have completed for Expert Systems (Rule-Based AI)

Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and seas. It offers three solutions: YoloV8 Algorithm-based underwater waste detection, a rule-based classifier for aquatic life habitat assessment, and a Machine Learning model for water classification as fit for drinking or irrigation or not fit.

A scikit-learn compatible classifier to perform trade classification in Python.

RRULES is a rule-based classifier that outperforms RULES, the original algorithm on which it is based, both in performance and efficiency.

In this section i will talk about Calculation of Lead Generation with Rule Based Classification

Discover ROPAC, a novel rule-based classifier we proposed. Here, you'll find the code, data, and original paper detailing this data classification algorithm.

Rule based system capable of recommending recipes based on ingredient input.

A Python script to classify companies based on financial metrics like Piotroski F-Score and Stock Valuation, using CSV financial data for analysis and output.

RISE Rule-Based Classifier

A Python script to classify companies based on financial metrics like Piotroski F-Score and Stock Valuation, using CSV financial data for analysis and output.

A fraud detection model built using random forests and rule based classifier

Potential Customer Profit Calculation by Rule Based Classification

NLP tutorial on fine-tuning the BERT model to classify IMDb reviews: mixed, positive, negative.

Rule Based Classification

Slovenian Definition Extraction

A Global Model-Agnostic Rule-Based XAI Method based on Parameterised Event Primitives for Time Series Classifiers