August 17, 2025bit-TechOpen Access

Design and Development of Web-Mobile Application for Housing Project Management Using KNN for Prediction

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The application enhances project management efficiency and supports sales prediction in housing projects.
Using KNN algorithm, the system achieved an accuracy of 86.7% with test data of 30 samples and 114 training samples.
Development followed a Waterfall method involving requirement analysis, system design, implementation, and testing.
It offers real-time access for efficient communication and coordination for small to medium-sized property developers.

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This application improves project management efficiency and sales prediction in housing development, indicating better decision-making.

Arifa et al. (2025) studied this question.

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