Real Estate Management System with Real-Time Analysis

Objective

To develop a Python-based system enabling efficient management of real estate properties by streamlining CRUD operations and enhancing decision-making through data visualization.

Challenges

• Managing a large volume of property data for purchases and rentals.
• Providing seamless analysis for instant profit calculation and rental period tracking.
• Enhancing user experience for different user roles (Admin, Customer, Owner).

Methodology

• Designed and implemented CRUD functionalities for real estate data management.
• Integrated real-time data storage and tracking for property transactions.
• Developed graphical visualizations for profit and rental period analysis.
• Established distinct user roles with specific functionalities.

Features

• Admin (Password: 12345): Manage property listings (add, remove, update).
• Customer: Browse and purchase/rent properties.
• Owner (Password: 123456789): View customers, profits, and manage all property data.

Analysis

Focused on efficient data management, real-time tracking, and role-specific functionalities to enhance decision-making and operational efficiency.

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