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Newfies is a Bulk Dialer and Voice Broadcasting application dedicated to provide information via phone technology.

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ernany/newfies-dialer

 
 

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https://github.com/newfies-dialer/newfies-dialer/raw/master/newfies/resources/images/newfies.png

https://secure.travis-ci.org/Star2Billing/newfies-dialer.png?branch=develop

Newfies-Dialer is a free and open source voice broadcast application, which can fulfil a variety of roles for a range of industries and organisations who wish to contact large numbers of people by phone in a short space of time.

The Newfies-Dialer aplication has been built using a messaging system so that it can support distributed processing on cloud servers. The platform is focused on real-time operations and task call distributions to clustered brokers and workers meaning that many millions of calls can be processed daily.

Newfies-Dialer can be installed on a standalone server for smaller deployments. It currently utilises the Freeswitch Telephony engine (http://www.freeswitch.org) to process the the outbound calls. However support for other telephony engines, such as Asterisk may be added in the future.

Newfies-Dialer is written in Lua & Python using the Django Framework, and operates with message brokers such as RabbitMQ.

In order to communicate with external systems, Newfies-Dialer has been released with a substantial set of API's to easily integrate the platform with third-party applications.

Newfies-Dialer is supplied with a comprehensive administrative and user interface which allows you and your customers to create outbound call campaigns, add phonebooks, subscribers, as well as record audio messages and design more complex IVR (Interactive Voice Response) applications. When ready and tested, the campaign can be launched from the interface.

Who is it for ?

NGOs:

The platform can be used to offer complex data collection, voting applications, notification for availability of supplies and dissemination of health information.

Marketing:

Newfies-Dialer is a telephony based marketing tool to deliver advertising to company contacts.

Emergency:

Provide a message delivery platform to quickly and efficiently send messages to communities.

Finance:

Debt Recovery and Reminders, this can be easily integrated with call centre software and processes.

Health & Welfare:

Deliver appointment reminders to patients of dentists, doctors and other organisations.

Installation

Newfies is a django based application, so the major requirements are :

  • python >= 2.6
  • Apache / http server with WSGI modules
  • Django Framework >= 1.5
  • Celery >= 3.1

All the requirements can easily be installed with PIP (http://pypi.python.org/pypi/pip) :

Installation Script

Installation scripts are provided to install Newfies-Dialer

Beginner's Guide :

Documentation

Complete documentation :

Screenshot

  • Customer Frontend :

    http://localhost:8000/ This application provides a User interface for restricted management of the User's Campaign, Phonebook, Subscriber. It also provides detailed Reporting of calls and message delivery.

https://github.com/newfies-dialer/newfies-dialer/raw/develop/docs/source/_static/images/customer_screenshot.png

https://github.com/newfies-dialer/newfies-dialer/raw/develop/docs/source/_static/images/newfies-dialer-dashboard.png

  • Admin Dashboard :

    http://localhost:8000/admin/ This interface provides user (ACL) management, a full control of all Campaigns, Phonebooks, Subscribers, Gateway, configuration of the Audio Application.

https://github.com/newfies-dialer/newfies-dialer/raw/develop/docs/source/_static/images/admin_screenshot.png

Translation

Help us translate Newfies-Dialer, we use Transifex: https://www.transifex.com/projects/p/newfies-dialer/

Additional information

Support

The Newfies-Dialer project is supported by Star2billing S.L. For more information, see http://www.newfies-dialer.org/

Please email us at [email protected] for more information

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Newfies is a Bulk Dialer and Voice Broadcasting application dedicated to provide information via phone technology.

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  • Python 76.1%
  • HTML 12.1%
  • Lua 7.7%
  • Shell 3.0%
  • JavaScript 0.7%
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