ai-vs-human

A fun and interactive web-based Tic Tac Toe game to play with your friend or against an AI.

SciHRA-Detect is a parallel dataset of scientific abstracts in three forms — Human-Generated Text(HGT), AI-Revised Text(ART), and AI-Generated Text(AGT) — designed to support research in authorship detection, text classification, and human-AI collaboration in academic writing.

A smart, responsive Tic-Tac-Toe game built using JavaFX. Challenge and test your skills against a simple AI powered by the Minimax algorithm. This is a modern take on the classic game, featuring a clean UI and smooth interaction.

Python implementation of the Hex board game with a near-unbeatable AI (Alpha-Beta + iterative deepening) and a modern tkinter GUI.

Script to check if a text or a .txt file is written by human or ChatGPT

Comparative analysis of AI vs Human decision-making using data analytics, machine learning, and ethical evaluation — analyzes whether AI decisions align with human reasoning across logical, emotional, and ethical scenarios

Final Project – Artificial Intelligence (Spring 2024), FAST NUCES. Built a Python Checkers game with an AI opponent using Minimax with Alpha-Beta pruning and heuristic evaluation for smart move selection.

A Convolutional Neural Network trained to discriminate between AI-generated and real images.

Multimodal AI content detection pipeline — analyses audio, video, and text to predict whether content was AI-generated or human-made.

An advanced Machine Learning-powered Web & Desktop application that analyzes source code to detect whether it was written by a Human developer or generated by AI models (ChatGPT, Copilot, Claude). Built with Python, Scikit-Learn VotingClassifier, Flask, and a modern Light Theme SaaS UI. Developed by Muzammal Ikhlaq.

A simple python project that demonstrate factors, prime checking, and HCF calculations.