HOUSE PRICE PREDICTION USING DEEP LEARNING
AIM & OBJECTIVE
• People looking to buy a new home tend to be more conservative with their budgets and market strategies.
• This project aims to analyze various parameters like average income, average area etc. and predict the house price accordingly.
• This application will help customers to invest in an estate without approaching an agent
• To provide a better and fast way of performing operations.
• To provide proper house price to the customers.
• To eliminate need of real estate agent to gain information regarding house prices.
• To provide best price to user without getting cheated.
• To enable user to search home as per the budget.
• The aim is to predict the efficient house pricing for real estate customers with respect to their budgets and priorities. By analyzing previous market trends and price ranges, and also upcoming developments future prices will be predicted.
• House prices increase every year, so there is a need for a system to predict house prices in the future.
• House price prediction can help the developer determine the selling price of a house and can help the customer to arrange the right time to purchase a house.
• We use linear regression algorithm in machine learning for predicting the house price trends