House Price Prediction System |
Author(s): |
| Shreyash Jawalkar , G.H.Raisoni College of Engineering ; Sahil Datir, G.H.Raisoni College of Engineering; Siddhant Pande, G.H.Raisoni College of Engineering; Sonali Guhe, G.H.Raisoni College of Engineering |
Keywords: |
| Multiple Linear Regression, Public Facilities, Hypothesis |
Abstract |
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This paper proposes a model that considers all the required factors so that the family should get a perfect house according to their needs. Weights are automatically assigned to transaction data and important features of all of the house buyers are identified by an attention mechanism. The model collects data from public facilities such as schools, colleges, and metro stations, it uses satellite maps to analyze the environment around the house. To improve prediction accuracy the model considers the interaction between two different features. To make the model more user-friendly we have also added some new features for house pricing. |
Other Details |
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Paper ID: IJSRDV11I10088 Published in: Volume : 11, Issue : 1 Publication Date: 01/04/2023 Page(s): 80-81 |
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