Pokémon Combat Outcome Predictor
Interactive web app and ML service that predicts one-on-one Pokémon battle outcomes with over 95 % accuracy by leveraging feature-engineered data and a Random Forest classifier. The front-end offers a clean UI, while the back-end pipeline handles data ingestion, modelling and API delivery.
AI Powered Entertainment Web Application
A sophisticated entertainment web application featuring AI-powered recommendations, multi-platform content discovery, and a modern responsive design.
Baldur's Gate Shop Sales Forecast
A comprehensive machine learning project for analyzing and forecasting shop sales in the fantasy world of Baldur's Gate
Titanic: Machine Learning from Disaster
A comprehensive machine learning project predicting passenger survival on the Titanic using the CRISP-DM methodology. This project demonstrates end-to-end data science workflow from business understanding to deployment, with professional documentation and reproducible results.