Degree
Master of Science in Data Science
Department
Department of Computer Science
Faculty/ School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Spring 2023
Supervisor
Dr. Umair Azfar Khan
Keywords
Online marketplace, E-Commerce, Video Processing, Object detection, Natural Language Processing
Abstract
The e-commerce business is slowly moving from manual to au- tomated processes which have been normalized over the last few years and are helping businesses grow exponentially. This paper introduces an innovative method for the sellers in this e-commerce business to introduce, list, and upload their products’ features by extracting information from a product’s video content. The method can easily be integrated with any online marketplace platform as an add-on to enhance the experience of their potential users. In order to sell a product, the user will be asked to mention all the possible features of that product while recording its video. The model will extract different images, remove their background, improve the resolution from video frames and extract all the possible features from the audio content of the video. This work minimizes the time required for posting a sales ad on any online marketplace and eases the process for potential sellers who are only left with verifying the generated content before posting the ad.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Shaikh, A. (2023). E-Commerce products form Automation using Video Description (Unpublished graduate research project). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/research-projects-msds/8
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