Real Time Home Valuation Predictor

Abstract

It is stated by this thesis that "Real-Time Home Valuation Predictor" is an innovative project that utilizes the power of machine learning to provide precise home valuations in a millisecond time period. This study proposal strives to tackle the intricacies under the evolving real estate market, using a novel approach that integrates real-time data analysis with state-of-the-art ensemble modeling methods to enable better predicting property values than ever before. The heart of the system is a Multi-Sourced Dataset that is diligently compiled by exploiting numerous market indicators, economic insights, and property characteristics. This diverse dataset is what fuels a complex and elaborate Voting Ensemble Model, which uses diverse techniques to increase the accuracy and dependability of the model. The ensemble method incorporates the advantageous features of the specific models and in this way, improves the predictive performance of the individual machine learning models. The model's performance is demonstrated through the usage of robust evaluation metrics, namely Mean Absolute Error (MAE) being 0.1724, Mean Squared Error (MSE) being 0.0605 and Root Mean Squared Error (RMSE) being 0.2461. The Mean Absolute Percentage Error (MAPE) shows very close to real equity prices analysts and experts expected with 0.0523 error, ascertaining that Novel Voting Ensemble Model has high level of accuracy. Also, the (R²) value of 0.9098 and the EVS of 0.9099, prove the model has a robust fit to the data. These evaluation metrics have pointed out that the model is more accurate, supplying the public with correct, instant estimations for home values. Alongside that this system involves Explainable AI (XAI) techniques, which, in turn, ensures transparency and provides end-users with an explanation of valuation outcomes, as a result, engendering trust in and understanding of the appraisal. The thesis covers the real estate market valuation and the area of machine learning through its dense and fruitful scientific work. "Real-Time Home Valuation Predictor" which is an example of efficient use of advanced algorithms along with comprehensive market study was created to meet the needs for accuracy and interpretability of property valuation tools.