- I'm Joseph Bisso
- I'm a mechatronical engineering student who likes coding
- I’m looking to collaborate on all projects written in C++, Java, Python
- Currently learning Matlab
🟣 COVID DATA VISUALISER
- A tool for visualizing Covid Data in Europa.
Little Backstory
- This project was initially a project we did for the programming course at the University. We were asked to programm a little appilcation as a test to pass the class and we taught a Covid-Tracker would be a pretty nice thing to programm. It was our first project for all of us, and we learned a lot of things and gained a lot of programming experience. After we passed the class, I decided to continue working on the project myself. Small bugs still need to be fixed and the computing time is still a bit long. The data set used at the beginning has also been changed and the program still needs to be adapted and optimized to this new format.
- Read the complet manual here. This project was wirtten using Qt Creator.
🔴 FALL PHYSIC SIMULATOR
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StellarLink is a 2D mini game / Fall Physic Simulator written in Qt/QML, C++ and JavaScript.
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In the game, you control a little ball cruising on the moon and enjoying a nice view on the planet Earth.
Get a glimpse of the game's mechanics through the GIF below:
🟠 CARD GAME
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Cardgame is a implementation of a physical Card game. For now there is only one pre-programmed Game but with this programm you can play a large number of card games if you know the rule and want to create a new Game with existing rules. But more (popular) Games are definitling in the way. Stay tunned!
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Your opponents will be AIs. The last Player with remaining Card loose the Game. For now neither the number of Ais nor their Level can be changed, but I played a couple hundred games and sometimes I win and sometimes I loose. Either way I had a lot of fun
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This project is written and tested automatically using Gradle and JUnit
🔵 AVIOSENSE MODE_S
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Aviosense MODE-S is a Data analaysis app written in python, Qt/QML and JavaScript.
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Aviosense MODE_S aims to make statements on turbulence using available data from MODE-S receiversn thanks a automated procedure for data transfer and calculation of the given approach while increasing the temporal and spatial scale of the data set used for the calculation