Real State
A machine learning–driven real estate price prediction system built using Spring Boot.
This project implements a predictive analytics web application for estimating residential property values, focusing on both house price prediction and land price prediction. At its core, the system integrates machine learning-driven valuation models with a backend API layer, enabling structured inputs (such as area, location attributes, built-up specification, and land metrics) to produce reliable price estimates. The solution combines data-driven modeling with a scalable server architecture, delivering an end-to-end forecasting capability that supports real estate decision-making.
The application is structured as a Spring Boot (Java) backend, adopting a clear Model-View-Controller (MVC) architecture. The Model encapsulates price prediction logic and data representation, the View layer delivers responsive interfaces for user interaction, and the Controller orchestrates data flow and business rules between the client and models. The prediction components leverage regression techniques — integrating training, validation, and runtime inference stages — to estimate property values based on relevant features. User interactions (e.g., specifying house attributes or land parameters) trigger real-time predictions served through REST endpoints and rendered in the frontend interface.
Key Features:
- Home Price Prediction Machine learning models that estimate property values for residential units based on key features (size, number of rooms, location factors, age, etc.).
- Modular Code Structure Modular Code Structure: MVC framework separation for maintainability, testability, and extensibility.
- Land Price Prediction Dedicated estimation functionality for land parcels,incorporating metrics such as plot area, zoning classification, and geographic descriptors.
What I Learned / Achieved
- Integrating machine learning prediction logic into a Java backend
- Processing and validating user input before model inference
- Structuring a Java project using Maven best practices