1. Gamerz Lyk Me Deepak Kumar Singh Deepam Dubey Saloni Porwal Vignesh Karthikeyan

2. Objective  To help users gain a comprehensive knowledge of the game to make a decision on purchasing the game with tweet sentiments/reviews, guide him to play the game with cheats and videos and also to find gamers with his own interests to network.

3. Industry Analysis Market Trends: Gaming Ecosystem, 2011 (Gartner Report)

4. Competitor Analysis

5. Business model :  Customers : They can make use of the services for free and can buy products on our website which fetches revenue.  Other Game Forums : The recommendation engine used by the website is unique and could be sold as a service to other game forums.  Game Companies :  Sell collected, parsed data to game companies which would be of immense use to them/ the graphical analysis of the collected data.  Game List : have a prioritized list of games based on bid from game companies.

6. Architecture

7. List of API’s AMAZON APIPAYPAL API JAMA APIVOICE TWEETS FACEBOOK APITEXT PROCESSING TWITTER APIGOOGLE VISUALIZATION GAME RADAR APIGOOGLE MAIL

8. Members and Roles Deepak Kumar Singh Application Integration, Game Radar API, Recommendation Engine-Hadoop Implementation, LDA System, Voice Tweet, Jama API, Sentiment Analysis Deepam Dubey Front End Design, PayPal API, Facebook, Google Visualization Saloni Porwal Twitter API, Amazon API, Data Parsing from scrapped data, Front End Vignesh Karthikeyan Amazon EC2 and Elastic Map Reduce, You Tube API, Keyword Collection LDA, Data Collection for LDA, PayPal API,