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Nowadays there is an increase interest on using social media contents for detecting and help during natural disasters. That interest is mainly based on the successful use of this type of data in the different phases of a disaster management process which ranges from early detection to efficient communication during the management of disasters. This paper focuses on the first phases of disasters’ management and presents a system that allows to analyze, enrich, and detect on real time needs from a set of web sources. By using the concept of crowd as a sensors, this application can help, jointly with other traditional systems, to improve the current applied procedures during the initial phases of the disaster and detect demanded needs.