AI-powered full-stack study planner built with React & Flask. Generates personalized study plans, tracks progress with analytics, and helps students stay consistent.
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Updated
Jul 7, 2026 - JavaScript
AI-powered full-stack study planner built with React & Flask. Generates personalized study plans, tracks progress with analytics, and helps students stay consistent.
A beginner-friendly offline CLI AI assistant built with Python and Rich. Features smart name memory, basic intent handling, and a modular structure ready for future API integration.
A rule-based Tic-Tac-Toe AI game built in Python.
AI Fairness and Quality Evaluation System (Rule-based ML Prototype)
🚀 DecodeLabs AI Engineering Internship | Batch 2026 — Hands-on AI projects spanning Rule-Based Systems, Data Classification, and Recommendation Engines. Built with Python, Scikit-learn & Jupyter.
If OpenAI builds engines, VOID builds the chassis.
Rusk-Bot is a command-line, rule-based AI that was originally built using QBasic (QB64) and is now being developed in Python 3.13.3. It can do a variety of things, including casual conversations, arithmetic problems, and can even handle Morse code. Frequent Rusk-Bot updates are planned.
Smart File Agent is a tiny, self‑contained demonstration of an agentic AI pipeline — built entirely in Python
A rule-based financial analysis chatbot built with Python, Pandas, and Gradio for generating financial reports, comparisons, rankings, and insights.
中文原生认知推理引擎 | 原子化-维度化-函数化可信AI架构
Python chatbot that predicts personality traits based on user responses using a rule-based scoring system.
This project implements an intelligent used car recommendation system that combines five knowledge representation techniques to provide comprehensive vehicle recommendations based on reliability, safety, and total cost of ownership.
A simple AI recommendation system built with Python that suggests courses based on user interests using rule-based logic.
AI-powered placement evaluation system that assesses candidate readiness, recommends suitable roles, and generates personalized 7-day preparation plans using rule-based agents and a modern REST API.
A rule-based AI chatbot built with Python and Streamlit, featuring fuzzy matching, JSON intents, conversation logging, analytics, and testing.
🛒 A Rule-Based Conversational Assistant for E-Commerce built using Python, Pandas, and CSV datasets.
An AI-powered Pacman game implementing A* pathfinding, rule-based ghost behavior, and finite state machines using Python and Pygame.
A simple rule-based AI chatbot built using Python, dictionaries, and control-flow logic
A rule-based AI chatbot built in Python using dictionary-based intent matching, input sanitization, alias handling, session memory, and deterministic response logic.
实验目标:验证 DTN 能否从极少量初始规则出发,通过内部逻辑推理和随机组合,生成有意义的、新的规则
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