Lightning-fast Python library for generating, evaluating, selecting, and optimizing interpretable rules.
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Updated
Jul 13, 2026 - Python
Lightning-fast Python library for generating, evaluating, selecting, and optimizing interpretable rules.
Credit Approval System 💳 is a Dockerized 🐳 Django REST API built to evaluate customer loan eligibility using a rule-based 📊 credit scoring algorithm. The system calculates credit scores based on loan history 📁, repayment behavior ✅, debt exposure 📉, and income levels 💰 to determine loan approval 🏦 and corrected interest rates 📈.
A programmatic autonomous LLM agent
All-in-one ag-platform for crop insights, marketplace services, and expert farming consultation.
A rule-based layout generator that systematically generates, evaluates, and visualises multiple building arrangements on a site using geometric calculations and logical checks.
Chatbot em SWI-Prolog para recomendação de pets com base em regras, score, alertas e vetos. Projeto acadêmico da disciplina de Inteligência Artificial.
Rule based system capable of recommending recipes based on ingredient input.
NutritionAdvisor is a beautiful, interactive, and fully rule-based expert system for personalized nutrition advice. Built with React, TailwindCSS, shadcn/ui, Framer Motion, and lucide-react, this app guides users through a multi-step questionnaire and delivers expert recommendations tailored to their health goals, lifestyle, and dietary preferences
Text normalization converts numbers, dates, and other formats into natural text using LLMs. By building a specialized dataset and finetuning the model, the system learns to handle diverse input formats, improving language understanding and downstream processing accuracy. (SuZeAI support)
📊 Parse complex webpage data with ease using a versatile rule engine that supports multiple selectors and advanced data processing features.
Myra is a browser-based AI sommelier and beverage intelligence system designed to deliver structured, refined drink recommendations through an elegant, performance-driven interface.
In this project, a new ACO algorithm is proposed which ensures to solve the problems encountered in traditional ACO algorithms. This algorithm was tested on number of environments to examine efficiency, error margin and count computational time. The results ensured that the proposed ACO algorithm is completely efficient in small-scale environmen…
A fast, lightweight Resume Parser API built with Python and FastAPI. Extracts structured data like name, contact info, education, experience, and skills from raw resume text using regex and heuristics. Returns clean JSON with confidence scores. No ML models, no external APIs.
Non-Western symbolic reasoning benchmark for LLMs. Multi-step rule-following inference within the Ba Zi (八字) formal system. Frozen lookup tables, Python reference implementation, mechanically verified gold CoT cases.
An hybrid rule based and AI model based email scam and frud detector
A sophisticated Minesweeper implementation in PyQt6 featuring a hybrid AI solver (CNN & Reinforcement Learning). Includes a rule-based hint system, real-time AI gameplay, and performance analytics with a cross-platform GUI.
AI-driven practice-first learning platform combining RAG-based explanations with a deterministic adaptive engine for structured mastery progression
Rule-based phishing URL detector using SSL, domain age, and URL pattern analysis
Python-based Intrusion Detection System (IDS) with rule-based detection, event logging, and real-time security alerts.
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