https://github.com/sundanc/besthousefinder
A Streamlit web application that helps users find the best house based on their preferences.
https://github.com/sundanc/besthousefinder
numpy pandas prediction python streamlit
Last synced: 2 months ago
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A Streamlit web application that helps users find the best house based on their preferences.
- Host: GitHub
- URL: https://github.com/sundanc/besthousefinder
- Owner: sundanc
- License: mit
- Created: 2024-12-12T08:52:05.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-13T09:28:17.000Z (over 1 year ago)
- Last Synced: 2025-08-10T11:43:13.418Z (11 months ago)
- Topics: numpy, pandas, prediction, python, streamlit
- Language: Python
- Homepage:
- Size: 935 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Best House Finder
This is a Streamlit-based web application that helps users find the best house based on their preferences from a dataset of housing data.
## Features
- Input preferences like minimum living area, number of bedrooms, bathrooms, and more.
- Filter houses based on criteria such as house age, renovation status, grade, and view rating.
- View the best house that matches the given criteria, sorted by house grade, view, and living area.
## Requirements
To run this project, you need the following Python packages:
- pandas
- numpy
- streamlit
Install the required dependencies by running:
```
pip install pandas numpy streamlit
```
## How to Use
Clone this repository or download the files.
The web interface will prompt you to input your house preferences (e.g., minimum living area, number of bedrooms, etc.).
The application will filter the data and display the best matching house based on your criteria.
## License
This project is licensed under the MIT License - see the LICENSE file for details.