House Price Prediction With AI (POC)

Real-estate house pricing in current scenarios is a major headache when it comes to new or even old buyers. Based on several items like – the area where the house is, decoration, construction etc. the price varies significantly. Therefore when a customer’s budget and expectation matches with the price then a deal takes place quickly. And often times it is really hard to predict the price considering all these ever-changing features.

AI & ML-enabled house price prediction model thus help to tackle this problem efficiently. The main goal of this model is to improve its performance based on the available phenomenons of a given data-set like: crime rate, zones, industrial area, nitric oxides concentration, the average number of rooms per dwelling, age, distance to major 5 working ground, distance to highway, TAX, pupil-teacher ratio, lower status of population etc.