krish-01/campusx-real-estate

Real Estate project from CampusX-DSMP course.

Real Estate Project - CampusX

Important

Disclaimer: I used 99acres.com data in this project and I used those data for educational purpose only.

Features

• Price Prediction system for different types of properties like Residential Apartments, Rental Apartment, Independent Floors, Independent Houses, Residential Houses.
• Analytics Page which shows some interesting insights regarding the Real Estate of a particular City of India or a Locality of that City.
• You can Add a New City (for example: Your City) on the website and then you can make price prediction and get analytics on your city data.
• You can Download Resources which are being used in the project like datasets and ML models. And if you want the project's code you can get it here.

Tech Stack

Tech	Stack
Programming Language	Python
Version Control	Git & GitHub
Data Analysis	Pandas, Numpy
Visualization	Matplotlib, Seaborn, Plotly
Machine Learning	Scikit-Learn
Frontend & Backend	Streamlit
Extra	Pydantic

Installation

1. Clone this repo in your local system.
2. Create a virtual environment and install the requirements of this project using below command:

pip install -r requirements.txt

3. Run the streamlit app.

streamlit run Real_Estate_Project.py

Acknowledgements

• 99acres.com: I used this website to gather the data for this project.
• @arv-anshul/99acres-scrape: Used this Streamlit web-app to scrape data from 99acres.com website.
• CampusX DSMP: I take inspirations and follow this course's Capstone Project.

License

MIT