MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611076981 A) filed by Abes Engineering College on June 22, 2026, for A System And Method For Predicting House Prices Using Machine Learning Techniques.
Inventors include Ms. Shweta Singh; Mr. Prafull Kumar; and Mr. Vikas Pandey.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to a system and method for predicting house prices using machine learning techniques. The invention comprises a data acquisition module, preprocessing module, feature engineering module, model training module, model evaluation module, and prediction module. Historical housing data including location, property size, number of rooms, and amenities are processed and utilized for training multiple regression models comprising Linear Regression, Ridge Regression, and Lasso Regression. Model performance is evaluated using statistical metrics including Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, and coefficient of determination.
Disclaimer: Curated by HT Syndication.
