Student Name

Arslan ShaikhFollow


Master of Science in Data Science


Department of Computer Science

Faculty/ School

School of Mathematics and Computer Science (SMCS)

Date of Submission

Spring 2023


Dr. Umair Azfar Khan


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

Research-Paper.pdf (2005 kB)

Available for download on Saturday, October 31, 2026

The full text of this document is only accessible to authorized users.