marvel

Super Heroes Kata for Android Developers. The main goal is to practice UI Testing.

A casual (but dangerous) package that will let Thanos snap fingers and delete random files inside a directory

MVP pattern example on Android: no Dagger or RxJava example

Screenshot Kata for Android Developers. The main goal is to practice UI Testing.

Marvel Characters Android Application Assigned by smava GmbH

Heoster AI 2026: Intelligent Personal Assistant Powered by LangChain & Transformers

Super Heroes Kata for Android Developers in Kotlin. The main goal is to practice UI Testing.

Screenshot Kata for Android Developers with Kotlin. The main goal is to practice UI Screenshot Testing.

Super heroes kata for iOS Developers. The main goal is to practice UI Testing.

A mini figure game of Spiderman with more villains to fight 🕷️🕸️ ~Give a Star~ ~Contributions are welcomed~

A superhero encyclopaedia made in React Native. Pulls from the SuperHeroAPI & ComicVine API

Android app built with MVP architectural approach and uses Marvel Comics API that allows developers everywhere to access information about Marvel's vast library of comics. ⚡

Keeps track of previous and upcoming Marvel Movies and Series ordered by release, chronologically, by Official Disney+ In Universe Timeline, and more.

Marvel Rivals Ultimate Trainer Setup Guide 2026 – Pro Boost & Optimizer for Windows

Node.js implementation of Thanos JS website.

kernel for OVH Nas board (marvel armada375 based SYS-arm offering)

Build networks from Marvel's API

This is a django based project, which tells some of your GitHub Stats and also tells you that which Avenger are you according to your GitHub Profile.

Just A Rather Very Intelligent System. This is a group Summer Design Project for our Semester 5. This is an Augmented Reailty and AI Powered Web App. Team Members: Kushang Shah, Pallavi Sharma, Nitesh Pachlashiya and Anubhav Madhav.

AI Desktop Automation Assistant, inspired by Marvel's Iron Man, is an AI-powered tool with voice activation, system monitoring, and proactive suggestions from camera and screenshot analysis. Built with PyQt5 and OpenCV, it boosts productivity with a witty, JARVIS-like charm.