In this project we have to webscrap article , listicle , images from other sites, By using this data we were aggregating this article and deriving summary of new article.

Also, we have use facebook , twitter , instagram, pinterest , Api to get user post and their analytics for box office and sentiment analysis purpose.

Also for web scraping we have use selenium , scrapy to get data from user website.

Here, we have use api of third party and web scrape the data from major hotel websites,

1. Once we have data we have use machine learning algorithm to clean the data.
2. Then we rank the data by using all available parameter.
3. Dynamic ip , Selenium, scrapy , python all tools has been used to get the data.

We have use nosql mongodb to store all raw data.

Offline movie share app

We have created an app where you can share apk and movie offline , along with this we capture block chain wise analytics of user, if user A has transfer app to B , from B to C and C come online then we get all the chain, how app has been shared who has shared with whom.

Also we have used OPENWRT with router, where user can download movie without internet , yes without internet movie can be downloaded. We are using router with hard disk to get movie downloaded.

• Here user just have to connect to the wifi and click download of movie , nothing else user has to do.

Technologies :- PHP , Social Api (Gtrend , facebook , instagram , youtube , twitter), Mongodb , Android

Description :- we have created an buzz kya app for movie domain, by using social api. Here we are gathering all the information of movie, by using song and movit title as keyword. Our project is basically tell

• Sentiment of movie
• Trending Keyword
• Trending youtube trailer / songs
• People following hash keywords
• Gtrend of movie , along with people using alias name with country and state details with graph