Artificial Intelligence (AI) integration with PowerApps – Cataract Detection App development
Jameel, Zunira (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025052113848
https://urn.fi/URN:NBN:fi:amk-2025052113848
Tiivistelmä
The use of Artificial Intelligence (AI), in developing applications has transformed the way custom apps are made and used nowadays. This thesis aims to solve the problem by building a custom Artificial Intelligence (AI) model that can be connected with Microsoft PowerApps to make smarter and more useful applications. PowerApps is a Microsoft platform that makes it simple for users to craft customized applications, with adaptability and convenience.
This thesis focuses on the design, development and embedding of a custom AI model into PowerApps for intelligence workflow application. The study will demonstrate how a personalized AI model can be smoothly integrated with PowerApps to improve efficiency and effectiveness while also outlining the training steps, for maximizing the AI models performance.
Then in the next step is to explore what Artificial Intelligence and PowerApps can do, what PowerApps capabilities and limitations are for creating apps (custom app). Following that, the focus will be on enhancing a specific AI model for image recognition. In order to determine the most effective way to seamlessly integrate a custom AI model with PowerApps. Overall, by showing examples and advantages that such integration can provide from real-world experiences, this thesis demonstrated how custom application development can be improved with AI employing PowerApps and can even serve as a guide for later developers.
The expected results involve a user-friendly app that utilizes AI to automate tasks and enhance user engagement by offering insights, into efficient integration methods. This study ultimately seeks to empower developers with the expertise to seamlessly incorporate AI into PowerApps in order to develop applications that cater to user requirements.
This thesis focuses on the design, development and embedding of a custom AI model into PowerApps for intelligence workflow application. The study will demonstrate how a personalized AI model can be smoothly integrated with PowerApps to improve efficiency and effectiveness while also outlining the training steps, for maximizing the AI models performance.
Then in the next step is to explore what Artificial Intelligence and PowerApps can do, what PowerApps capabilities and limitations are for creating apps (custom app). Following that, the focus will be on enhancing a specific AI model for image recognition. In order to determine the most effective way to seamlessly integrate a custom AI model with PowerApps. Overall, by showing examples and advantages that such integration can provide from real-world experiences, this thesis demonstrated how custom application development can be improved with AI employing PowerApps and can even serve as a guide for later developers.
The expected results involve a user-friendly app that utilizes AI to automate tasks and enhance user engagement by offering insights, into efficient integration methods. This study ultimately seeks to empower developers with the expertise to seamlessly incorporate AI into PowerApps in order to develop applications that cater to user requirements.