Cujardo, Gwynn R. <br/><br/>
Property listing management platform/ 
Gwynn R. Cujardo, Cyrus Nathaniel P. Florendo, Jewel Vaida A. Jaime, Aeron Justin C. Quiambao, and Arsenic M. Salangsang.-- 
 - Manila:  Technological University of the Philippines,  2025. 
 - xi, 183pages:  29cm. 
<br/><br/> Bachelor's thesis<br/><br/><br/> 
<br/><br/>College of Science.--<br/> 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> Lack of a dedicated platform for managing property listings has resulted in<br/>inefficiencies in the accomplishment of tasks and communication between developers,<br/>brokers, and clients. This paper suggests the creation of a web-based Property Listing<br/>Management Platform utilizing Django as the backend, PostgreSQL as the database<br/>management system, and Vue.js as the front-end. The system is designed as a business<br/>application to facilitate sales and management of any type of property: apartment sections,<br/>houses, parking lots, land, and condo units. The main functionalities of the system are<br/>effective management of units, reservations, payment plans, customers, and document<br/>requirements. The system development follows Agile Scrum, which enables iterative<br/>improvement based on user feedback through regular sprints and continuous testing.<br/>System evaluation, conducted via 30 respondents and rated against the standards of<br/>ISO/IEC 25010, received a score of 3.84 and positioned the platform as Highly Acceptable.<br/>The findings are a measure of how effective the system is at enhancing property list<br/>management and communication. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Property listings<br/>Django backend<br/>Reservation system
<br/><br/><label>LC Class. No.: </label>BTH T 58.5   / C85 2025