Crafting Solutions and Managing Projects with Precision 😎

I am Prajakta, a graduate student currently pursuing a degree in Technology Project Management at Illinois State University. Additionally, I am pursuing certificates in Business Information Systems and Quality Management & Analysis.

• Pohare, P. & Schmidt, K. (2024). Cutting edge network technology creating Li-Fi and Wi-Fi hybrid. In J. Cohen & G. Solano (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1066-1071). Las Vegas, Nevada, United States: Association for the Advancement of Computing in Education (AACE). Retrieved June 26, 2025 from https://www.learntechlib.org/primary/p/224091/.

A developing form of wireless high-speed communication is called light fidelity (Li-Fi), and it makes use of light-emitting diodes (LEDs). This paper attempts to explain about Li-Fi and the advantages of hybrid Li-Fi and Wi-Fi network. Li-Fi has a significant amount of unlicensed bandwidth, which enables it to sustain large data speeds. Due to obstructions, reflection from the walls, and interference, the Li-Fi channel's quality varies throughout the space. On the other hand, Wi-Fi is a different wireless communication technology that can offer ubiquity and a reasonable data rate. The integration of various technology domains through network convergence is intended to address the issue of the fast-increasing number of mobile devices and their increasing demand for Internet services. Combining wireless fidelity (Wi-Fi) with light fidelity (Li-Fi) to create hybrid Li-Fi and Wi-Fi networks (HLWNets) is a potential strategy for indoor wireless communications. The ubiquitous Wi-Fi coverage and the fast data transmission of Li-Fi are combined in this hybrid network. Due to the increasing demand from Internet users, researchers and manufacturers now view Li-Fi technology as an essential solution for radio frequency (RF) spectrum limitations.

• Pohare, Prajakta K., "Enhancing Data Wrangling Efficiency Using AI" (2025). Theses and Dissertations. 2071. https://ir.library.illinoisstate.edu/etd/2071

Data wrangling is an important step in transforming raw data into the right format for the right analysis. Unfortunately, using the manual method can be drudgery and unreliable, not to mention error prone, especially with complex data sets. This study examines the role of AI in planning and organizing data wrangling tasks in the form of a Work Breakdown Structure (WBS) using an AI prioritizing tool. The research looks at how well and with how much breadth and flexibility the approach performs to deliver WBS prioritized tasks compared to a manually generated WBS prioritized tasks and deploy and test a few scenarios. Three scenarios are looked at, which are general wrangling tasks, specific analytical needs and domain-specific problems. As per the results, the approach can provide WBS prioritized tasks in a timely sequence and AI can come up fast and in structured way all this is same as the case generated manually but it is yet dependent on humans for domain wise details. This study emphasizes the improvement of data preparation when combined the human creativity with the fleeter and systematic pace of automation.