flpp20191 /
RecGen
Recgen is a no-coding shell of a rule-based expert system designed for building recommendation systems. It is an open-source framework developed using Python and the Django framework.
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SahilUkarde / repository
A Rule-Based Expert System developed in Python that uses forward chaining and IF-THEN rules to diagnose possible diseases based on user-provided symptoms. The system demonstrates basic AI reasoning, inference mechanisms, and knowledge-based decision making.
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A Rule-Based Expert System developed in Python that uses forward chaining and IF-THEN rules to diagnose possible diseases based on user-provided symptoms. The system demonstrates basic AI reasoning, inference mechanisms, and knowledge-based decision making.
This project is a simple Rule-Based Expert System developed using Python. It accepts symptoms from the user and uses IF-THEN rules to infer possible diseases using forward chaining.
python expert_system.py
Example: fever,cough
Output: Possible Diagnosis: Flu
Sahil Ukarde
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flpp20191 /
Recgen is a no-coding shell of a rule-based expert system designed for building recommendation systems. It is an open-source framework developed using Python and the Django framework.
53/100 healthgabrielcamposdeveloper /
A simple academic project that demonstrates how Prolog can be used to build a rule-based medical diagnosis system. The application combines Prolog's logical inference engine with a Python interface, allowing users to interact with the expert system through a graphical interface.
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A python "rule based system" with simple GUI
FerasTamer /
An intelligent expert system for neural network training parameter optimization using Python, Tkinter, and CLIPS. Provides dynamic, rule-based recommendations to improve machine learning model performance.
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60/100 healthsanket180920 /
I recently completed a Rule-Based Expert System using Python where the system can infer conclusions based on IF–THEN rules using forward chaining. The project demonstrates how simple rule engines can simulate decision-making similar to human experts.
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