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Transforming Video Categorization with an Intelligent ML Solution for a Premier Skills & Talent Development Company

Transforming Video Categorization with an Intelligent ML Solution for a Premier Skills & Talent Development Company

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    Synopsis

    Technology Stack

    Machine Learning

    Nltk Library

    Robo3T

    Python3.7

    Anaconda

    Microsoft Excel

    Client Overview

    The client is a leading Skills and Talent Development Corporation offering Training & Development Solutions worldwide.

    Challenge

    The client wanted to develop a Video Classification system to eliminate the manual process of identification and classification of videos which was a time-consuming process.

    Solution

    • Q3 Technologies successfully designed, developed, and implemented a Machine Learning based solution targeted to identify and categorize the video files into specific categories based on the keywords used in the video script.
    • The implementation involved use of data and text preprocessing, creating a model and video classification in a category.
    • The training category domains were Fact Finding and establishing Needs, Relationship Management, Motivating People, Recruitment, Approach, Prospecting, Solution Presentation and Closing.

    Outcome

    Improved accuracy by 75%
    Higher quality standards with low failure-rate
    Improved TAT by 80%
    Faster go-to-market with efficient resource optimization

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