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Customer Insight from photos / videos posted on Facebook

$30-250 USD

Cancelled
Posted almost 6 years ago

$30-250 USD

Paid on delivery
A retail business requires to have a better customer insights from the images posted on Facebook by the customers. Using the images posted by customer, Use image analytics / deep learning to identify and categorize the scenes, faces, logos, objects and actions that customers post to facebook every day.   Classify images from customer posts as places, brands, food, events and action. The model should be able to provide exciting opportunities to uncover more valuable customer insights from social media 1) What places customers visited 2) What kind of places does customers like 3) Special events customers attending 4) What kind of food does the customers like 5) What brands does the customers like 6) Whom does the customer travel with And much more.
Project ID: 17263168

About the project

1 proposal
Remote project
Active 6 yrs ago

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1 freelancer is bidding on average $250 USD for this job
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Hi!. I am available right now, how are you? I am interested in your project and would like to discuss the project with you. I always deliver on time and on budget feel free to check my feedbacks and portfolio. I understand that you require Facebook API, Machine Learning, Python, Web Development, Web Services . Please Send me a message so that we can discuss more about this project. Over 50 projects successfully completed. Satisfaction Guarantee and Quality Work, Support 24/7. Cheers, Dimitrije.
$250 USD in 6 days
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Flag of UNITED ARAB EMIRATES
Dubai, United Arab Emirates
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Member since Jun 29, 2018

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