Tweets of Energy

  • Status: Closed
  • Hadiah: $150
  • Penyertaan diterima: 8

Ringkasan Peraduan

In the project you will use Twitter API ([login to view URL]) to stream the tweets which contain "energy" word and a specified locaiton ie. England or [login to view URL] should use Storm library ([login to view URL]) to process twitter stream. After processing the related tweet you should store these tweets to a database and display them on the maps using Google Maps API ([login to view URL]).

You can first detect the tweets containing energy word them populate country list regex search in the tweet to find a country match in the tweet, etc...

While displaying tweets on the map you will use database i mean user can see all the tweets past tweets containing word energy related to that location.

You can contact for the details of the project, good luck.

Kemahiran Disyorkan

Penyertaan teratas dari peraduan ini

Lihat Lagi Entri

Papan Penjelasan Umum

  • csabikuc
    csabikuc
    • 4 tahun yang lalu

    please send me more details

    • 4 tahun yang lalu
  • trigolgy
    Penganjur Peraduan
    • 4 tahun yang lalu

    i want the streamin in with using storm project, i want system to be scaleable... https://github.com/nathanmarz/storm/wiki

    • 4 tahun yang lalu
    1. twistedhardware
      twistedhardware
      • 4 tahun yang lalu

      I'm using Celery for Queue Management and RabbitMQ as a broker. I have your stream handled by 10 workers to ensure real time operation. the Celery tasks are pretty stable under good shower of tweets. With the current setup I can handle up to 350 tweets per second per machine. This setup is very scalable has been put to a lot of stressful tasks.

      I took a look a storm and it quite good but I don't think I can rewrite a major part of my system to utilize a different another queuing system. I can keep the stream for another 9 days and work on a specialized dashboard interface with some stats and chats and google map. I can show some interesting results like most shared tweets for different places and have all of that live from the stream.

      • 4 tahun yang lalu
    2. twistedhardware
      twistedhardware
      • 4 tahun yang lalu

      I'll need to know if is it OK to continue with Celery instead of Storm.

      • 4 tahun yang lalu
  • twistedhardware
    twistedhardware
    • 4 tahun yang lalu

    I have a system that does that. I started streaming the word energy and it is being stored into a database. I have a live dashboard for you to monitor what is trending in your stream.

    I'll work on a google map interface that shows live data. That shouldn't take too long.

    • 4 tahun yang lalu
  • yogeshsharma89
    yogeshsharma89
    • 4 tahun yang lalu

    This is quite interesting project. Can I have your skype so we can discuss bit more ? Then I will develop and submit my entry.

    • 4 tahun yang lalu

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