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https://github.com/degisew/entity_resolution

Entity Resolution is a service that helps you match, link, and enhance related records stored across multiple applications, channels, and data stores.
https://github.com/degisew/entity_resolution

django html5 pandas pandas-dataframe postgresql python3

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Entity Resolution is a service that helps you match, link, and enhance related records stored across multiple applications, channels, and data stores.

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README

          

# 📗 Table of Contents

- [📖 About the Project](#about-project)
- [🛠 Built With](#built-with)
- [Tech Stack](#tech-stack)
- [Key Features](#key-features)
- [🚀 Live Demo](#live-demo)
- [💻 Getting Started](#getting-started)
- [Setup](#setup)
- [Prerequisites](#prerequisites)
- [Install](#install)
- [Usage](#usage)
- [Run tests](#run-tests)
- [Deployment](#triangular_flag_on_post-deployment)
- [👥 Authors](#authors)
- [🔭 Future Features](#future-features)
- [🤝 Contributing](#contributing)
- [⭐️ Show your support](#support)
- [🙏 Acknowledgements](#acknowledgements)
- [❓ FAQ](#faq)
- [📝 License](#license)

# 📖 Entity Resolution
**Entity Resolution** is a service that helps you match, link, and enhance related records stored across multiple applications, channels, and data stores.

## 🛠 Built With
- Django

### Tech Stack
- Python
- Django
- HTML5

Server

Database

### Key Features

- **Match different data sources and link them**
- **Produce the comparison statistics**

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## 🚀 Live Demo
Not Available yet!

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## 💻 Getting Started
To get a local copy up and running, follow these steps.

### Prerequisites

To run this project you need:

- to have [Python](https://python.org/) installed on your machine
- to have [PostgreSQL](https://www.postgresql.org/) installed on your machine
### Setup

To get a local copy up and running follow these simple example steps.

1. Navigate to a folder where you want the cloned file to appear

2. Clone this repo in your terminal or git bash using the command
```sh
cd entity_resolution
git clone https://github.com/degisew/entity_resolution.git
```

3. Run the following command to install all the necessary dependencies

```sh
cd entity_resolution
pip install pipenv
pipenv install # This will create a virtual env't and install dependencies in the virtual env't.
```

4. Navigate to the folder called entity_resolution/ and open this project using your editor

### Usage
To run the project, first activate your virtual environment:
```sh
pipenv shell
```

Once you have activated, execute the following command to run the server:

```sh
cd entity_resolution

For Mac/Linux run:
python3 manage.py runserver

For Windows run:
python manage.py runserver
```
- This above command will start the Django server in your browser

Runs the app in the development mode.\
Open [http://localhost:8000](http://localhost:8000) to view it in your browser.

### Deployment

You can deploy this project using:

- pythonanywhere
- Heroku
- Renderer

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## 👥 Authors

👤 **Degisew**

- GitHub: [degisew](https://github.com/degisew)
- LinkedIn: [Degisew](https://linkedin.com/in/degisew-mengist)
- Twitter: [@Dj_etiya](https://twitter.com/DJ_etiya)

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## 🔭 Future Features

- Scale data sources and work with large datasets to increase accuracy
- Integrate with ML models for prediction

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## 🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the [issues page](https://github.com/degisew/entity_resolution/issues/).

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## ⭐️ Show your support

If you like this project give a ⭐️ to repo.

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## 🙏 Acknowledgments

I want to thank all my supporters.

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## 📝 License

This project is [MIT](https://github.com/degisew/entity_resolution/blob/dev/LICENSE) licensed.

_NOTE: we recommend using the [MIT license](https://choosealicense.com/licenses/mit/) - you can set it up quickly by [using templates available on GitHub](https://docs.github.com/en/communities/setting-up-your-project-for-healthy-contributions/adding-a-license-to-a-repository). You can also use [any other license](https://choosealicense.com/licenses/) if you wish._

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