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Floral Farms. MIS 510 – Web Mining Project Demo Ver2. Kaustubh Khole Rishi Mittal Firoz Pathan Shraddha Patil Abhishek Semwal. Floral Farms Objectives. Collaboration between flower growers, suppliers and bouquet shops Growing interest for flower business on a large scale
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Floral Farms MIS 510 – Web Mining Project Demo Ver2 Kaustubh Khole Rishi Mittal Firoz Pathan Shraddha Patil Abhishek Semwal
Floral Farms Objectives • Collaboration between flower growers, suppliers and bouquet shops • Growing interest for flower business on a large scale • Making money through the portal by gaining percent of flowers sold • Providing recommendation for selecting flowers on appropriate occasions
Revenue Model Commission Based
Website Architecture API’s Used Android App } EC2 Cloud Web Server Internet Scraping Tool Db as a service URL's Mined from Internet http://www.flowersofindia.in http://www.garden.org http://science.nationalgeographic.com
Technical Components Database • Amazon RDS IDE • Eclipse • Android SDK • IDE Netbeans API • Wikipedia • Amazon • eBay • Flickr • Google News • Google Geo Code • Google Maps • Google Translator • Twitter • Meebo • Facebook • Youtube Cloud Service • Amazon EC2 • Amazon RDS Data Scrapping • Mozenda Tool
Recommendation • Occasions are recommended according to the flower • E.g. If user searches for ‘rose’ our system recommends occasions as • Romance , wedding , anniversary , thank you ,sorry, congratulation
Improvements Version 1 Version 2 More content and appealing UI More functionality incorporated More user scenarios More API’s(12) More data through web mining Android app developed Improved user interaction Recommendation System • Good UI • Basic Functionality • Limited(5) API • No Android app • Less interactivity
Novelty • Android Application • Recommendation Function • Cloud based Database - Amazon RDS • Cloud based Web Server - Amazon EC2
Individual Contribution Firoz Complete Integration Team Management Analytics Component Youtube