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.

RISE Rule-Based Classifier

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

A deep learning-based web application that classifies different types of waste materials using computer vision. The system helps in proper waste segregation by identifying whether an item belongs to categories like cardboard, glass, metal, paper, plastic, or trash.