An experimental demo for capturing and displaying screenshot of an Android device / emulator without ROOT permission.

Advanced, asynchronous Android Command & Control (C2) framework featuring AES-256-CBC encryption, DOM-based keylogging, and E2EE notification interception. Built for Red Team operations and mobile security research.

This project contains demonstration of repetitive data entry tasks using python script as well as a form in which data is getting filled which is developed in JavaFX

This web-app is under development

python script for autoML in h2o

A simple programming language for program verification using Z3, ANTLR4 & Parser Combinators written using Scala

A miniPython Compiler for the Compilers course @/AUEB (2021)

🖥️ REST API developed in Spring Boot, including tests for the back-end

Simple springboot API for addressBook. Supports all REST controllers and have custom error handling for every specific case, also supports redis caching.

A Youtube Downloader implemented with Java and Python.

Developed web-applications to purchase/sell portable products.

Repo contains a project to run a springboot api using shell & python scripts invoked by another spring boot application inside a docker container

Spring Boot REST API + React UI

This repo contains the script used by me to extract data out of webpages (web scraping) using a python script that I wrote using BeautifulSoup

Automate login testing for any website with Java, Selenium, and TestNG. Capture screenshots and manage tests easily. Perfect for Windows and Linux. 🐙🌐

A Dynamic Rent Adjustment System with automated rent forecasting using ARIMA time-series analysis. Includes authentication, listing management, owner workflows, price approvals, and a scheduled forecasting engine. Built as part of an academic thesis.

SIM Pattern Generator is a ImageJ plugin tool for generating sinusoidal structured illumination microscopy (SIM) patterns.

Monitoramento do roteador AirCard 790S com scripts em Java, Shell e Python.

This repository contains code snippets for a backend platform that calculates real-time taxi fares based on comfort levels. It leverages Kafka for data streaming, ElasticSearch for indexing, and BigQuery for revenue analysis, computing fares by analyzing driver-customer distances, categorized by comfort level and location.