Belis Antonis

Common-Expenses Calculator App is a lightweight, mobile tool that splits building expenses in seconds.

Gratitude Capsule is a web & mobile application designed to help users capture and revisit meaningful thoughts, memories, and messages of gratitude. Built with simplicity and emotional well-being in mind, it allows users to create time-locked digital “capsules” that can be opened on a future date,for themselves or others.

This project is a fully playable chess game with an AI opponent built using Python and Pygame. It features a graphical interface for human-vs-human and human-vs-AI games, along with a powerful AI engine based on Minimax and Negamax with Alpha-Beta Pruning.

This project aims to predict Airbnb listing prices based on property and host features using machine learning. Given a dataset of Airbnb listings, the goal is to predict the price of a property using structured features such as location, host details, room type, number of beds, amenities, and availability metrics.

This project predicts the next day's closing stock price using the previous 60 days of data and a Recurrent Neural Network (RNN) with LSTM layers.

Trained to learn sequential patterns in historical stock data.

Predicts one-day-ahead closing prices.

This project is an interactive web and console-based tool that helps options traders identify short put opportunities with attractive risk/reward profiles based on real-time market data.

This app allows users to scan for short put options with customizable filters like, Annualized ROI, Days to expiration, Strike price proximity to current price.

Integrated with Interactive Brokers (IBKR) using the ib_insync API to fetch live option chain data and option premiums directly from the market.

Implements real-time calculations of Premium, Days to expiration, Annualized Return on Investment (ROI%).

A collection of interactive animation experiments built with HTML, CSS, and Vanilla JavaScript, showcasing creative uses of the browser's rendering capabilities without relying on external libraries or frameworks.

Designed and implemented a variety of visual animations using the native Canvas API, DOM manipulation, and CSS transitions/transformations.

Included interactive effects such as:

-Real-time mouse tracking and response

-Procedural shape generation

-Physics-inspired behaviors (e.g., bouncing, attraction, explosions)

-Responsive designs that adapt to screen size and orientation

A diverse set of Python-based mini projects created as part of my journey to learn and master Python through practical, hands-on development.

This collection includes 30+ small-scale applications covering a wide range of topics such as:

Automation & System Utilities

– Battery monitor, keylogger, internet speed checker, push notifications, desktop assistants

Encryption & Security

– Audio encryption, image encryption, simple blockchain, password generators

Computer Vision & AI

– Face recognition, vehicle detection, text detection via webcam

GUI Development

– Digital clock, text editor, timer app, bookstore manager (with Tkinter)

Networking & Web

– FTP client, web scraping, mail client, TCP chatroom

Games & Algorithms

– Blackjack, snake game, sudoku solver, Towers of Hanoi

Data & Visualization

– Geocoding, QR code generator, Plotly data charts, PDF-to-audio book

This project builds a binary classification model to predict the presence of heart disease using patient medical data from the UCI Cleveland Heart Disease dataset.

Objective

To accurately classify whether a person has heart disease (1) or not (0) based on features such as age, cholesterol level, blood pressure, chest pain type, and more.

This project focuses on predicting the future sale price of used bulldozers using historical data from the Blue Book for Bulldozers Kaggle competition.

The goal is to build a robust regression model to estimate auction prices based on machine characteristics and sales history.