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Partha Pratim Sanyal Rahul Singh Rathore Rahul Tekchandani Sayali Avalakki

NachBaliye.com. Partha Pratim Sanyal Rahul Singh Rathore Rahul Tekchandani Sayali Avalakki. An Indian Dance Odyssey. BUSINESS MODEL. One Stop Information Portal for all Indian Dance Aficionados and Organizers Target Audience : Indian Culture and Dance Enthusiasts Differentiation:

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Partha Pratim Sanyal Rahul Singh Rathore Rahul Tekchandani Sayali Avalakki

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  1. NachBaliye.com Partha Pratim Sanyal Rahul Singh RathoreRahul Tekchandani Sayali Avalakki An Indian Dance Odyssey

  2. BUSINESS MODEL • One Stop Information Portal for all Indian Dance Aficionados and Organizers • Target Audience : Indian Culture and Dance Enthusiasts • Differentiation: • Learn Dances • Events filtering based on User IP • Gauge opinion of masses across the globe on Indian dances through Tweets • Discuss events, dances on our site forum • Recommend dances based on User interest

  3. REVENUE MODEL • COMMISSION BASED MODEL • Commission on sale of Amazon products • Sale of click stream data for marketing • Social network marketing • Partner with Dance schools and Organizations like Spic Macay, IGNCA etc. • Commission from event advertising

  4. novelty • Extensive Information on Indian Folk Dances • Multimedia components such as images, videos • Implemented free tutorial for dance. • Events based on click stream recommendation • (based on User IP) • Scheduling of events using Google Calendar API • Recommendation of cities for hosting events for Organizers. • Site statistics to help visitors and event organizers to understand the potential audience.

  5. COMPETITIVE LANDSCAPE

  6. V 1.0 Vs V2.0

  7. DATA COLLECTION • Information on dances from Website such as • Wikipedia.org • Onlinebharatanatyam.com • Narthaki.com • Spicmacay.com • Spidering and Parsing for events in many events. • Used Facebook.com, Twitter.com and blogs for data.

  8. DATA MINING COMPONENT Where? Dance recommendation Learn Dance recommendation. How? Similarity index calculated by Jaccard function. Sorted the results based on similarity index . Recommended best results to the users.

  9. Why we are different? • Number of APIS : 13 • Recommendation on ‘live’ User session – click stream • Recommendation for • Event Organizers • Event attendees • Dance learners • General users (Dance Recommendation) • Twitter sentiment • Sentiment • Most ‘buzzed’ dances on Twitter

  10. Team contribution

  11. Thank You

  12. System Architecture 14 API s (Data sources) Visual Web Spider Oracle Database Recommendations Internet Sources User

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