https://github.com/arv-anshul/campusx-real-estate

Real Estate project from CampusX-DSMP course.
https://github.com/arv-anshul/campusx-real-estate

campusx campusx-dsmp data-science data-visualization machine-learning mongodb pandas project python3 recommender-system streamlit web-app

Last synced: 12 days ago
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Real Estate project from CampusX-DSMP course.

• Host: GitHub
• URL: https://github.com/arv-anshul/campusx-real-estate
• Owner: arv-anshul
• License: mit
• Created: 2023-09-10T20:56:05.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-25T15:27:56.000Z (about 1 year ago)
• Last Synced: 2023-10-25T18:02:44.478Z (about 1 year ago)
• Topics: campusx, campusx-dsmp, data-science, data-visualization, machine-learning, mongodb, pandas, project, python3, recommender-system, streamlit, web-app
• Language: Python
• Homepage: https://campusx-real-estate-1a.streamlit.app/
• Size: 2.12 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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](https://github.com/arv-anshul/campusx-real-estate).

## 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:

```sh

pip install -r requirements.txt

```

3. Run the streamlit app.

```sh

streamlit run Real_Estate_Project.py

```

## Acknowledgements

- [99acres.com](https://99acres.com/): I used this website to gather the data for this project.

- [@arv-anshul/99acres-scrape](https://github.com/arv-anshul/99acres-scrape): Used this Streamlit web-app to scrape data from 99acres.com website.

- [CampusX DSMP](https://learnwith.campusx.com): I take inspirations and follow this course's **Capstone Project**.

## License

[MIT](https://choosealicense.com/licenses/mit/)