Tareq Salaheldeen

Social media of news using Twitter in gathering news and show them to the user sorted according to some algorithm that decides which tweets are more important. Also shows statistics upon some topic within range of past days.

The Banana project was forked from Kibana, and works with all kinds of time series (and non-time series) data stored in Apache Solr. It uses Kibana's powerful dashboard configuration capabilities, ports key panels to work with Solr, and provides significant additional capabilities, including new panels that leverage D3.js.

The goal is to create a rich and flexible UI, enabling users to rapidly develop end-to-end applications that leverage the power of Apache Solr. Data can be ingested into Solr through a variety of ways, including LogStash, Flume, and other connectors.

Build a full-stack website using technologies Node.js, HTML5, JS/jQuery, and MongoDB.

Using twitter social media as a source of news, we group tweets talking about the same news, apply on each group categorization (i.e. Politics, Sports). We check the credibility of this news and assign a geographical location for each group of tweets. This allows users from different countries to show their local and international news easily. We also assign name entities to each group, so that users who are interested in news about some public figures or public regions can easily find news talking about them.

Designing and implementing a distributed file system with the following specifications: one main server and one secondary server; the data will be replicated on multiple replica servers; the file system allows its concurrent users to perform transactions and guarantee ACID properties.

Mobile application for Android and iOS users built using PhoneGap; it is used as a front-end mobile application for website so users can listen to and download audio files of the Holy Quran and read the words at the same time.