Andrew Shen
ABSTRACT
With the increasing popularity of Artificial Intelligence (AI) and Machine Learning (ML), developing AI-based applications is in high demand in various industries. However, the AI development is still based on traditional programming frameworks and languages, which prevents domain experts from contributing to it without collaborating with developers. This research is to show how graphical software allows users from many domain (e.g., Doctors, Accountants, Advertisers) to build AI applications, train AI models without any prior knowledge of programming, and many of its unnecessary concepts. Using nodes and connectors as the primary graphical components, the application, GraphicalAI, is to show how graphics can be designed in a way to easily prototype any kinds of AI models. To enable domain experts to design AI models using the power of graphics and our human vision.
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Index Terms
- GraphicalAI: A User-Centric Approach to Develop Artificial Intelligence and Machine Learning Applications using a Visual and Graphical Language
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