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29 Mar 2019

Report on Project Challenge

School of Computing and Information Technology took an initiative to host “Project Challenge” to encourage and provide a platform for students to show case their talents and innovative ideas in developing projects through latest technologies and using popular programming languages such as Python, R, etc.

School of Computing and Information Technology hosted “Project Challenge” in association with Florida International University (FIU), USA and Xcelerator with having the themes Data Science | Machine Learning | Image Processing on 29th and 30th March 2019.

Themes with Problem Statement details are mentioned below:

Theme - 1: Data Science – Analysis of Air Pollution Data

Problem Statement: To perform exploratory data analysis and cluster analysis of air pollutant concentration of a place and show the analysis in a visual form.

Theme - 2: Machine Learning – Text Mining on Twitter: Finding Frequently used Words

Problem Statement: Internet has fundamentally changed the way we interact with each other. Today, social networking tools like Twitter has billions of active users. Performing analysis on the message texts is not only challenging, but also a powerful tool that has been employed in diverse fields such as business, humanities and health sciences.

Theme - 3: Image Processing – 2D Shape Recognition using OpenCV

Problem Statement: Computer vision plays a crucial role in the industry today weather it be in robotics, self-driving cars, pattern recognition, etc. An essential part of computer vision is shape detection. Ability of the system to identify simple and complex shapes is an integral part of the image processing algorithm used by any computer vision system. Over the past decade, there has been a significant rise in the requirement of the image processing professionals familiar with concepts such as these.

Around 10 teams comprising of 30+ students were participated in Project Challenge.

The event was inaugurated by our beloved School Director, Dr. Sunilkumar S. Manvi, Faculty Coordinators and Xcelerator team.

After the inaugural function, participants in teams started with developing project based on their theme and problem statement selection on 29th March 2019 (Day 1) and completed the project challenge on 30th March 2019 (Day 2). Finally, the event concluded with Final Evaluation of all the student team’s project from the Xcelerator team.

Report on Project Challenge
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