ABSTRACT The impact of COVID-19 outbreak was felt across all real estate management. A slowdown in the house rental and maintenance management system can be anticipated, as a result of the lock-down and limitations in financing. There is a severe impact on handling the relationship between the house owners, tenants, and the handymen. Property management is a crucial component of being a landlord, but it is far from straightforward. An appropriate methodology was carried out by the researchers to identify all the problems regarding real state property management through quantitative and qualitative data gathering procedures such as semi-structured interviews, face-to-face interviews, questionnaires, and direct observation of the selected sample. After analyzing, the house owner must screen tenants, collect rental fees, handle complaints, and keep tenants satisfied, among other things. In this pandemic situation, tenants faced more difficulties s uch a s d ifficulty in fin ding a b et ter hou se, pay ing mon thly pay ments, paying utility bills, loss of connection with house owners, and finding the nearest h a ndymen. Handymen suffered a lot mainly because of the inability to find works. Researchers’ main aim is to give an appropriate solution for Sri Lankans. By examining the responses this investigation shows that a mobile application would be a better solution than implementing a web application. Iterative waterfall methodology was used for implementing this application. The researchers decided to develop this application using android studio and to enhance the effectiveness of the system by using 360 VR photography, Machine learning (ML)-based technologies, OTP/Fingerprint for User Verification and Geo location, and Geo-tagging. KEYWORDS: House Rental Maintenance Management, 360 VR Photography, Machine Learning
Wickramasinghe et al. (Fri,) studied this question.
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