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# 21_22-J 21
Smart Flood Detection and Warning System
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Smart Flood Detection and Warning System
**Main objective**
* To predict the rainfall and getting live data using IoT devices and build a simulator
* To give most accurate and reliable answer to end user using natural language processing and make a best user experience to user
* To presenting high estimate forecasts for flood forecasting. Increased flood levels are studied here. The purpose here is to make an accurate prediction
* To prevent the user from navigating the dangerous regions using the website’s Map. Also, the user may learn about submerged areas, flooding areas, dangerous locations, and safe areas
**Main Research questions**
* How to predict the rainfall and flood using past and live data?
* How to get rainfall data and flooding data using IoT system which includes IoT sensors?
* How to show the flooding areas in a map?
* How to get fast and reliable real time flood disaster information's easily?
**Individual research question**
IT18256642 | Jayakantha JHCM
How to predict the rainfall using past and real data and monitor them in a web application.
* What is the ideal machine learning model for predicting the rainfall.
* What is the proper way to build the IoT unit including the IoT sensors.
IT18258172 | Kumarasiri A.D.V.I.S
How to get fast and reliable real time flood disaster information's easily?
* How to fine tune and improve the answers accuracy for users questions?
* How to give users novel experience than traditional information resources?
IT18207064 | Medaela M.P.G.P.M
* How to know safe areas
* How to know a dangerous regions
* How to know flooding areas
* How to know submerged areas
IT18208436 | Perera W.A.D.C.T
* How to get fast and reliable real time flood data easily
* How to forecast flood increasing data.
* How to detect flood level in IOT system.
* How to transfer forecast data to the web application and flood map
**Individual Objectives**
IT18256642 | Jayakantha JHCM
* To collect the dataset
* To preprocess the data
* To train the dataset using machine learning algorithms
* To collect the live data using IoT sensors
* To build the simulator to test the whole system
IT18258172 | Kumarasiri A.D.V.I.S
* To Design a user friendly interface
* To Retrieve real time data from IOT devices
* To Retrieve data from Existing servers
* To Recognize the end users problems
* To Develop a web application
IT18207064 | Medaela M.P.G.P.M
* To prepare dataset
* Retrieve the map
* Marking of Riverbank elevations
* Marking contour lines in the map
* Demonstrate map information by retrieving factual and up-to-date information
* To build the website to demonstrate flood map
IT18208436 | Perera W.A.D.C.T
* To presenting high estimate forecasts for flood forecasting
* Increased flood levels are studied here
* The purpose here is to make an accurate prediction
**Technologies, Techniques and Algorithms**
IT18256642 | Jayakantha JHCM
* Jupiter Notebook – IDE for Machine Learning Algorithms
* Python/R – Language for Machine Learning Algorithms
* IoT sensors – Collect the live data
* Azure Cloud – Host the live data
* Github – Integrate with others
* MS Teams – Communication
* Algorithms - Artificial Neural Network
Linear regression
Decision tree
Logistic regression
Random forest regression
IT18258172 | Kumarasiri A.D.V.I.S
* Python – language for deep learning algorithms
* PHP, HTML, Bootstrap – for develop web application
* Natural language processing
* Azure cloud – Host the web application
* Git Hub – Interrogate with other
* MS Teams - Communication
IT18207064 | Medaela M.P.G.P.M
* JavaScript
* R
* MS Power BI
* ArcGIS
* GitHub
* MS Teams
* PHP
* HTML
* CSS
IT18208436 | Perera W.A.D.C.T
* LoRaWAN
* Artificial Neural Network (ANN)
* Long Short-Term Memory (LSTM)
* PCB ( printed circuit board)
* Raspberry Pi
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