[{"data":1,"prerenderedAt":143},["ShallowReactive",2],{"project-reader-water-level-monitoring":3},{"id":4,"title":5,"body":6,"category":117,"date":118,"description":119,"extension":120,"featured":121,"githubUrl":110,"images":122,"liveUrl":126,"longDescription":127,"meta":128,"navigation":129,"path":130,"seo":131,"slug":132,"stem":133,"tech":134,"thumbnail":141,"__hash__":142},"projects\u002Fprojects\u002Fwater-level-monitoring.md","Water-Level Monitoring System",{"type":7,"value":8,"toc":109},"minimark",[9,13,17,22,25,29,64,68,94,98],[10,11,5],"h1",{"id":12},"water-level-monitoring-system",[14,15,16],"p",{},"An intelligent IoT water-level monitoring system with machine learning-powered leak detection and automated response mechanism.",[18,19,21],"h2",{"id":20},"project-overview","Project Overview",[14,23,24],{},"This system integrates IoT sensors with machine learning to provide real-time water-level monitoring and automated leak detection. The project was successfully accepted and presented at an AI Conference in Malaysia.",[18,26,28],{"id":27},"key-features","Key Features",[30,31,32,40,46,52,58],"ul",{},[33,34,35,39],"li",{},[36,37,38],"strong",{},"Real-time Monitoring",": Continuous water-level tracking with IoT sensors",[33,41,42,45],{},[36,43,44],{},"Leak Detection",": ML-powered anomaly detection to identify leaks early",[33,47,48,51],{},[36,49,50],{},"Automated Response",": Automatic shut-off mechanism to prevent water waste and damage",[33,53,54,57],{},[36,55,56],{},"End-to-End Pipeline",": Complete system from data collection to database management",[33,59,60,63],{},[36,61,62],{},"Self-Initiated",": Developed independently with zero budget, showcasing strong problem-solving abilities",[18,65,67],{"id":66},"technical-architecture","Technical Architecture",[30,69,70,76,82,88],{},[33,71,72,75],{},[36,73,74],{},"Data Collection",": Arduino-based sensors for real-time water-level measurements",[33,77,78,81],{},[36,79,80],{},"Backend Processing",": Python and PHP for data processing and ML model inference",[33,83,84,87],{},[36,85,86],{},"Database",": SQL database for storing historical data and system logs",[33,89,90,93],{},[36,91,92],{},"ML Models",": Machine learning algorithms for pattern recognition and leak prediction",[18,95,97],{"id":96},"achievements","Achievements",[30,99,100,103,106],{},[33,101,102],{},"Successfully presented at AI Conference in Malaysia",[33,104,105],{},"Research paper accepted and published",[33,107,108],{},"Demonstrated practical application of IoT and ML integration",{"title":110,"searchDepth":111,"depth":111,"links":112},"",2,[113,114,115,116],{"id":20,"depth":111,"text":21},{"id":27,"depth":111,"text":28},{"id":66,"depth":111,"text":67},{"id":96,"depth":111,"text":97},"engine","2026-02-01","Intelligent IoT water-level monitoring system with machine learning-powered leak detection and automated response mechanism","md",true,[123,124,125],"\u002Fimages\u002Fprojects\u002Fwater-level-monitoring-1.jpg","\u002Fimages\u002Fprojects\u002Fwater-level-monitoring-2.jpg","\u002Fimages\u002Fprojects\u002Fwater-level-monitoring-3.jpg","https:\u002F\u002Fdocs.google.com\u002Fdocument\u002Fd\u002F1DuVijaKOeuzwsTbQ9hRPkm7cE5pl-aO8\u002Fedit?usp=sharing&ouid=115634637106939792285&rtpof=true&sd=true","Designed and developed an intelligent water-level monitoring system integrating IoT sensors with machine learning. Implemented real-time leak detection and automated response mechanism to shut off water flow and prevent waste or damage. Built end-to-end pipeline including data collection (Arduino), backend processing (Python\u002FPHP), and database management (SQL). Developed as a self-initiated project with no budget, demonstrating strong problem-solving and engineering skills. Successfully accepted and presented at an AI Conference in Malaysia.",{},null,"\u002Fprojects\u002Fwater-level-monitoring",{"title":5,"description":119},"water-level-monitoring","projects\u002Fwater-level-monitoring",[135,136,137,138,139,140],"Python","Arduino","PHP","SQL","IoT","Machine Learning","\u002Fproject\u002Fwater.jpg","o230zCllg1ZJL9mJ4i0jlj-FEsypkPpEwQYWRHDTDgQ",1775448379772]