1. YOGAWORLD – V2.0 Ramya Balaji Dinesh Manoharan Malavika RupendraKumar
Pavithra Viswanathan

2. Introduction Yogaworld is a one-stop shop for Yoga enthusiasts
It includes poses for individuals in beginner to advanced levels
Helps users find studios around them and browse through recommended poses based on their ailments
Includes a mobile app featuring basic poses and a map to find studios

3. Objectives
To provide a complete application for learning/knowing about yoga
To provide a platform to purchase products related to yoga
To make available information regarding health benefits of yoga and what poses to practice for specific disorders
To enable easy access to information on a mobile platform

4. Functionalities Pose Search to select pose of choice
Studio Map to find nearest yoga studio
Pose Recommendation based on health disorders
Videos and step-by-step explanation of poses
Mobile application containing basic pose videos

5. Competitor Analysis Poses Videos Social Media Map Merchandise
A2z
yoga
Yoga journal
Artofliving /yoga
yogawiz
findyoga
yogapoint
YOGA WORLD
Poses X
Videos
Social Media
Map
Merchandise
Recommender System
Cloud & App

6. Business Model Ad Revenue Studio Listings Amazon Product Sales
Google AdSense API can be integrated – advertising revenue
Opening the site to Google’s Ad Display network
Studio Listings
Yoga Studios can be featured listings on site for a small fee
Amazon Product Sales
Directing product sales from site = revenue from Amazon

7. Architecture

8. Components Amazon EC2 Cloud APIs – Alchemy Google Maps Google Places
Google Geocoding
Google Translate
Amazon
YouTube
Flickr
Sound cloud
Bing Search
Facebook – like, comment, share
Twitter

9. App Components Pose finder Sends Query Result Search Query
Android Application architecture
Web Service,
JSON
Pose finder
Sends Query
Result
Search Query
Database

10. Analytics Recommendation System Similarity Metrics
Item based Recommendation
Similarity Metrics
Log Likelihood Similarity
Generic Item based Recommendation
Accuracy: 0.83
Sample training Data
Format: Pose type, Ailment Type, Body Part, Recommended Pose

11. Novelty Cloud Application Mobile App Recommender System SoLoMo
Amazon EC2 Cloud hosting
Mobile App
Incorporates basic video and maps functionalities
Recommender System
Pose Recommender System using Data Mining
SoLoMo
Social – Location – Mobile
Fb-Google maps- Android

12. Team Contribution Member Contribution Ramya Balaji
Front-end, Google Maps, Places, Geocoding, Slides, YouTube, Novelty
Dinesh Manoharan
Front-end, Google Translate, Bing Search, fb, twitter, Flickr, EC2, Data Mining
Malavika RupendraKumar
Database Design, Amazon, Data Mining, EC2, Novelty
Pavithra Viswanathan
Database, Alchemy, Soundcloud, Data Mining, Android