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.
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.
If OpenAI builds engines, VOID builds the chassis.
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.
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.
AI Fairness and Quality Evaluation System (Rule-based ML Prototype)
中文原生认知推理引擎 | 原子化-维度化-函数化可信AI架构
AI-driven expert advisor that analyzes Pakistan Stock Exchange (PSX) data and generates trading signals with explainable logic.
Smart File Agent is a tiny, self‑contained demonstration of an agentic AI pipeline — built entirely in Python
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