InYourArea is the UK's leading local news, information and community platform. With over 4 million users, its mobile application is frequently ranked #1 in the UK App Store (News category).

Public Notice Portal (PNP) is an initiative from the local news media sector to further promote public notices to communities and enhance local democracy by harnessing the sector's massive online audiences.. The Portal is backed by publishers in membership of the News Media Association, and developed by Reach plc. The project was partly funded by the Google News Initiative.

ARO stands for Application Review Optimization. It is an end-to-end solution to improve application ratings on platforms such as App Store and Google Play Store.. ARO analyses application reviews at scale and uses Machine Learning and Natural Language Processing techniques to detect any review that violates terms of service of the platform it was left on. After assessment and classification of the reviews, application vendors can send a developer response for a certain class of reviews, or submit a removal request for invalid ones, which in turn improves their application ratings.. Through an easy-to-use dashboard built in React and PHP, ARO enables users with non-technical knowledge to train an AI model and make business decisions based on its predictions.

Notistack is combination of the words notification and stack. It is a library which makes it extremely easily for javascript developers to display notifications on their web  applications. It is free, open-source and available to the javascript community to download through npm registry.. Ever since I published the first version, notistack gained traction and with the help of open-source community we've been adding new features with every release.. .. People seem to love notistack because of:. • simplicity of integration to their existing apps,. • it's imperative API which allows them to display notifications with a call of a function,. • and the fact that it's highly customizable, while adhering to Material Design Guidelines.

Thanks to the advancement of technology and emergence of social media, everyone's message can be broadcasted to the world with a push of button. This double-edged sword can be used to empower people or to bully them, to spread awareness or hate.. The aim of this project was to suppress hate, and make online world a safer place for children and adults.. The result is a Machine Learning model, which uses Recurrent Neural Networks to detect if a piece of text contains some type of negative sentiment or hate. It can be used to prevent a swearword from being posted on social media, or to bleep censor an audio in real-time, on a live broadcast.. Since this model analyses inputs based on a sub-word character n-grams, even variations of swearwords are detected and flagged as inappropriate. What do I mean by variations? Try inputting the following phrases in the text field below:. • You're an @ss-hole. • You're f**king annoying