NIZAM-E-ILLAHI AM ISLAMIC SOCIAL NETWORK

Abstract

The objective ofthis project is to fulfil the need ofevery Muslim, i.e., an Islamic social media. We are now living in an age where social media has become a part ofour lives and we can’t spend a single hour without seeing over feeds. Many social media giants are jumping into the race ofsocial media but from what we have researched none of them are inclined towards Muslim Community. We are trying to fill this gap by developing a platform completely dedicated to the Muslim community and purely based on Islamic values. Nizam-e-Elahi is an Islamic social media for Muslims where we have focused on two main things as for the scope ofFinal Year Project i.e., textual presentation ofposts and visual presentation of posts. As for the textual posts we will be removing ss|amophobia which for what we have seen never been implemented in any application, then we will be focusing on the authentication ofhadiths and Qur’anic verses to restrict the user to only add those hadiths and Qur’anic verses which are authentic with references. As for Visual posts we will implementing NSFW APIS for detecting content, videos or website pages the viewer may not wish to be seen looking at in a public, formal or controlled environment. As of our secondary goal we will be implementing Friend System, Follower System, Groups and Pages will be there for users to explore, a complete search engine for Qur’anic and Hadiths, Comment and Like system for posts and Identity verification process to make the users verified for creating Pages and Groups. As for the scope of fulfilment of this Project we have completed the Authorization and Authentication of user, implementation of AI/ML models for the filtering oftextual posts which includes (Islamophobia, Hate Speech, Tags Generation, Translation and Similarity Model) beside these implementation we have also developed an appealing UI for the presentation ofthese work using Reactjs. In case of Visual posts we have managed to develop NWSF model, Face Info model, Image Info Model, OCR and Hijab Detection model to complete the development ofthis project.