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Machine Learning Text Categorization Grouping Coding

Users submit videos to our site with -any- category name after uploading a video, and based on objects/events detected in the video, and transcription of the text, we want to confidently approve a video if it's over a certain score. If it's below, we want to manually review.

Image category name as 'Grilled Cheese Sandwich'. Our object recognition might detect hamburger, bread, car, human, bird, shoe. In this scenario, we think it would be best to approve the video because hamburger and bread are similar to 'grilled cheese sandwich'.

Our videos will be from any type of category, for objects or events. Car, Tire, House, waterfall.

If you think you can solve this problem, please explain to me why you are best and your strategy. If you have the best solution, I will hire you to write a script

Skills: Artificial Intelligence, Machine Learning (ML), PHP, Python

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About the Employer:
( 13 reviews ) Redondo Beach, United States

Project ID: #19661491

43 freelancers are bidding on average $836 for this job

Sunxiyong0116

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schoudhary1553

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uzairrzahid

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hamzaisb

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5.4
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damilareisaac

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(27 Reviews)
4.9
susanna2018

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(26 Reviews)
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nodinh325

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mza5ab8dc9be9a8c

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trustworthyDev

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