Second-hand house evaluation system based on machine learning

Abstract

The invention discloses a second-hand house evaluation system based on machine learning. The system comprises at least one group of user side, an input module, a collection module, a database, a calculation and evaluation module and an artificial evaluation module, and the input module inputs real estate information and sends the real estate information to the collection module. The collection module captures keywords of the real estate information, the real estate information is classified and sent to the database, the database is stored in the cloud server, the calculation and evaluation module compares the input real estate information for mechanical evaluation, and the artificial evaluation module adjusts the mechanical evaluation and verifies the authenticity of the input real estateinformation at the same time. Mechanical evaluation of the second-hand house is realized by combining data capture classification and a mechanical algorithm, and artificial evaluation is added to ensure accurate and reasonable price and real and reliable real estate.

Description

technical field [0001] The invention relates to the technical field of evaluation systems, specifically a second-hand housing evaluation system based on machine learning. Background technique [0002] In recent years, with the rapid development of the national economy and the continuous improvement of the living standards of urban residents, people's demand for improving housing conditions has become increasingly strong, and second-hand housing transactions have also maintained rapid development. As the number of stock houses entering the market continues to increase, the evaluation of second-hand housing prices has also attracted more and more attention. Due to its own limitations, the traditional single-case evaluation cannot meet the requirements of fast, accurate and standardized evaluation of a large number of real estate in a short period of time. Therefore, learn from the experience of developed countries and establish an evaluation system. [0003] Most of the exis...

AI Technical Summary

Problems solved by technology

[0003] Most of the existing evaluation systems are online valuations performed manually after the real estate information is uploaded. The low efficiency of this kind of system evaluation makes it difficult to cope with today's huge second-hand housing market. At the same time, manual valuation is easily affected by the emotions and subjective impressions of the appraisers, which affects real estate valuation. Therefore, it is necessary to design a second-hand housing evaluation system based on machine learning to evaluate the huge amount of second-hand housing information.

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