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:
( 32 reviews ) Redondo Beach, United States

Project ID: #19661491

28 freelancers are bidding on average $853 for this job


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(35 Reviews)

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(86 Reviews)

I am a professional ML/NLP Engineer in an IT company with 3+ years of Python, Machine learning and Natural Language processing, have experience working with many challenging problems and also with different tools and More

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(62 Reviews)

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$250 USD in 3 days
(25 Reviews)

Hello Really interesting and motivated project........ i have 7 years experience image processing development. i `v developed many projects like car plate,face detection and tracking. etc so................ i will More

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(20 Reviews)

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(35 Reviews)

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(50 Reviews)

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(71 Reviews)

Hi there, I have read through your project description. Do you a working model for image recognition or we just want to build? Then can you tell me more about the videos? I will be looking forward to hear from you. P More

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(42 Reviews)

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(16 Reviews)

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(13 Reviews)

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(17 Reviews)

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(9 Reviews)

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(2 Reviews)

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(3 Reviews)

Hi, how are you? I believe I can solve your problem. I can make a neural network that would generate a list of objects in the image, for example. I believe that with this list of categories you could filter and approve More

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(1 Review)