Context-Aware Resource Allocation System for Small Businesses

Abstract

My thesis focuses on the design and implementation of a context-aware resource allocation system for small businesses. The developed application helps users manage projects, tasks, resources, and dependencies in a structured and efficient way. A key feature of the system is the use of Directed Acyclic Graphs (DAGs) to validate task dependencies and ensure correct execution order. The project was implemented using a modern full-stack architecture with FastAPI, React, and PostgreSQL. It also includes automatic resource allocation, analytics, and an intuitive user interface. Overall, the thesis combines theoretical computer science concepts with practical software development to create a useful real-world solution.