This is a House Price Prediction System estimating the prices in the city of Pune (Maharashtra,India) based on the inputs given by the user. It was developed using python , colab and flask. This system has a dataset from which it is trained.
House prices are a significant impression of the economy, and its value ranges are of great concerns for the clients and property dealers. Since the Housing prices escalate every year the need of strategy or technique that could predict house prices in future is required. With this project we aim to predict the house prices for users based on certain independent parameters. There are certain factors that influence house prices including physical conditions, locations, number of bedrooms and others. We are taking into consideration location , the number of bedrooms, bathrooms and total square feet area and predicting prices using linear regression techniques. The user is given the option of estimating the prices of one of the major metropolitan cities of India namely Pune. We will be developing the project using flask , javascript, python. By virtue of this project we aim to aid every user in their quest of an ideal household.
- Python and Various Python Libraries
- Colab
- Flask
- Javascript, HTML, CSS
- Bootstrap
- Download the requirements using : pip install -r requirements.txt
- Run the flask app using the following steps
Before the input
After the output
