real time travel sequence recommendation using bigdata

A travel sequence recommendation project where we have to recommend a travel sequence to the user rather than just particular points of interest( like if the user wants to travel to India, then we should recommend a travel sequence within India). We also have to obtain real time data from various sites(like Flickr to obtain information from community contributed photos, travelogues etc) to get information about any obstacles in the travel(like any hartal or strikes that have been announced for a particular date or if there are chances of some natural calamities, so probably obtain data from news sites) so as to avoid recommending those places or providing information about such obstacles. The UI should look something similar to like wolframalpha.com. The tools and languages to be used for this project are *Apache Spark, Spark Streaming for the real time data, Scala programming* To be completed within 3 days.