Jamal, MashiatJuboraj, Md. Fahmid-Ul-AlamSayed, Jawad BinTabassum, AanikaMahmud, Tasfin2026-09-152026-09-152023-01-01M. Jamal, M. F. -U. -A. Juboraj, J. B. Sayed, A. Tabassum and T. Mahmud, "Bangladesh Water Body IoT Monitoring System With Usage Suggestion and Statistical Analysis of Results," 2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Thiruvananthapuram, India, 2023, pp. 237-242, doi: 10.1109/WIECON-ECE60392.2023.10456421.97983503196512-s2.0-85190387783https://hdl.handle.net/10361/29953Monitoring the water bodies is a hectic process, as testing water specimens after collecting samples of water from water bodies is quite time-consuming. This is concerning as lake water pollution has dramatically grown in recent years due to expanding industrialization and limited access to clean water in economically disadvantaged nations like Bangladesh. This study utilized the analysis of the water quality index calculation using the NSF-WQI formula, and further research was done using KDE and ANOV A analysis to find the relation between the water health parameters. This was achieved by monitoring the real-time water quality parameters of Hatirjheel Lake, Dhanmondi Lake, Uttara Lake, Cox's Bazar's Kohelia Water Body, and Mirpur DOHS Lake using an IoT-based remote water quality monitoring device that we developed in this research.237-242en-USfalseArtificial intelligenceIoTMachine learningSensorsStatistical data analysisWaterMachine learning.Internet of things.Conference Proceeding10.1109/WIECON-ECE60392.2023.10456421