Design an implement a state-of-the-art machine learning platform using open-source tools.
Arcade games form the 80s are fun and have very handy features: The graphics are simple, the controls are very limited and the game mechanic is in general very simple. This makes it perfect for a computer to teach itself playing a game.
Teach the computer to play a arcade game.
Currently a lot of paper forms are submitted on a daily basis. This could either be as a hard copy by mail or scanned by e-mail. In any case, a manual processing of the form needs to happen which includes:
The target of this thesis is to explore solutions to implement parts or all above step automatically. Various approaches should be explored including but not limited to traditional media understanding, machine learning and deep learning approaches.
Testing ML and AI algorithms is not an easy task. Often we cannot simply use real data as they are covered by data protection laws. In such cases we need to create test data ourselves. Or we might try to anonymize existing data.
The target of this thesis is to generate test data for an AI use case. This could for example be forms which are processed and categorised by another project. In this case we would need to create various real-looking samples of various documents. E.g. birth certificates, marriage certificates, etc. These will later get scanned in and categorised by another project.
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