All over India, either it is hilly or plain region, water transmission pipelines constitute one of the important ways for supplying water to agricultural lands, industries and residential areas. Leakages, ruptures and bursts in water transmission pipelines are challenging problems which may occur due to various reasons such as corrosion, aging, blockages, malicious activities by humans etc. Geographical conditions of hilly regions further magnify these problems. For an example there is large change in altitude from one point to another point of pipeline that naturally generates wide gap in pressure at two ends of pipe where at one end it is quite high and many times which results in outburst of pipe and leakages at connecting valves. Further, freezing of water inside the pipe is another reason of breakages in water transmission pipes in hilly reasons. There are many problems that emerge because of leaks and burst in water transmission pipelines such as wastage of water, approximately 10.26 million liter water get wasted in a day in shillong, contamination of water, wastage of energy, interrupted water supply, damage to nearby infrastructure and loss of lives on sudden explosion of some major pipeline. Currently, monitoring and maintenance of water transmission pipelines are done by manual patrolling which is very costly and time consuming for large area. Manual patrolling is even more tough for hilly regions because a number of times distribution pipeline pass through remote areas, going where is very hard and risky for humans beings. To deal with above mentioned problems, current project focuses on designing a automated system for real time monitoring and detection of leakages and bursts in water transmission pipelines using wireless sensor networks (WSN), cloud computing and data analytics techniques. WSN technology will be used for real time data collection from the application field. This technology also assists in collecting data from remote areas which may be difficult to be accessed by humans. The data storage and processing will be done on cloud architecture so that data as well as results can be accessed on-the- fly. Data analytics methods will be applied on collected data for detecting, locating, quantifying and early prediction of leaks and bursts in water transmission pipelines so that timely action can be taken for avoiding further losses. For accurate detection of leaks and bursts, features resultant in data because of geographical conditions of hilly regions will be incorporated in data analytics method. At first, the complete system will be tested on a test bed by imitating transmission pipelines system by considering hilly region issues. After that, the system will be implemented as pilot project in collaboration with PHE Department, Shillong.