Connect Four AI Agent
An intelligent Connect Four game featuring a competitive AI opponent powered by the minimax algorithm with alpha-beta pruning. Built with Python and Pygame, this project demonstrates advanced game theory concepts and AI decision-making in a classic two-player strategy game.
Exploratory Data Analysis
An in-depth Exploratory Data Analysis (EDA) project designed to uncover patterns and relationships between students daily habits and their academic performance. The dataset, sourced from Kaggle, includes information on study hours, sleep patterns, diet quality, social media use, and exam results.
RAG Agriculture Knowledge Assistant
A smart document retrieval system that converts agricultural documents into an interactive form for building an intelligence base. The retrieval-augmented generation system is used to ask the system any question the users wish to know with the answer being referenced and accurate.
Hybrid Movie Recommendation Engine
A hybrid movie recommendation system that combines three distinct machine learning approaches to provide personalized movie recommendations. Trained on 1.2M+ ratings from the MovieLens dataset.
