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The theme for 2011 Doodle 4 Google competition is 'India's gift to the world'. The Children were requested to imagine their own version of the Google logo based on this theme. Varsha Gupta won this year's Doodle 4 Google competition. [22] The top doodles in India entered an online vote on the Doodle 4 Google website.
Google announced a Doodle 4 Google competition for India in 2009 [103] and the winning doodle was displayed on the Google India homepage on November 14. A similar competition held in Singapore based on the theme "Our Singapore" was launched in January 2010 and the winning entry was chosen from over 30,000 entries received.
Pinkalicious Pinkerton (voiced by Kayla Erickson in seasons 1-3; Shazdeh Kapadia in season 4-6): [7] Pinkalicious is an imaginative young girl who likes pink (more than any other color) in addition to soccer, painting, tinkering and using her creativity.
Kawaii culture is an off-shoot of Japanese girls’ culture, which flourished with the creation of girl secondary schools after 1899. This postponement of marriage and children allowed for the rise of a girl youth culture in shōjo magazines and shōjo manga directed at girls in the pre-war period.
Due to the large-scale devastation from the 2011 Tōhoku earthquake and tsunami, in lieu of a traditional April Fools' hoax, Google Japan featured many never-before featured drawings from its 2009 Google Doodle competition, themed "What I Love About Japan" drawn by Japanese schoolchildren, saying "We promised that only the top prize winners ...
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Random Google art project Hungry: Google search for "restaurants" or "dinner recipes" Trendy: Google Hot Trends: Adventurous: Random probability-related Google widget Stellar: Random space-related image search Funny: Random humor-related Google search or Charlie Chaplin's Google Doodle Curious: Random question and answer or Google easter egg ...
Quick, Draw! is an online guessing game developed and published by Google LLC that challenges players to draw a picture of an object or idea and then uses a neural network artificial intelligence to guess what the drawings represent. [2] [3] [4] The AI learns from each drawing, improving its ability to guess correctly in the future. [3]