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Comparison of Cloud-Native Architectures for implementing a Food Waste Reduction System
2 weeks ago
High Level Description
This Bachelor thesis focuses on exploring architectures used in cloud-native applications and identifying their strengths and weaknesses. The thesis will involve a theoretical part in which a comparative study is done in current cloud-native architectures. The practical part consists of designing and implementing a cloud-native application to help households and offices reduce food waste through smart inventory management and timed notifications.
Project Description
The project will involve developing an application that enables users to scan product barcodes and expiry dates, retrieve and store product information, create a cloud-based backend for data storage and notification management, and design a notification system for expiring products.
The research focuses on comparing different cloud-native architectures for scalability and performance, evaluating the effectiveness of different architectural approaches, deploying, and testing the solution in a real-world environment.
Who Are We Looking For
Students in a Bachelor/Master of Science in Computer Science/Engineering program.
Purpose
The purpose of this research is to generate knowledge in the field of cloud computing by exploring and evaluating architectural approaches for building modern cloud-native applications. This could help software developers and architects in decisions that impact projects and the software development life cycle.
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