MHRS is recommendation system which analysis various factors affectine marine life in SF bay areay like water temperature, salanity, disolved CO2 and O2 and pH level of the water.

• Install MongoDB on cloud or your system and note down the DB connection string
• Import the meta data of sensors in the database using following command -- "mongoimport --db cmpe239 --collection sensorMetaData --type csv --headerline --file phMetaSensor.csv" -- The CSV files are present in csv folder in root of the project
• The go to server folder and turn on the server by following command -- Before turning on the server make sure all test cases passes for server to boot. Run "node tests.js" -- node sensorDataCollector.js

• Run the dashboard / website server as well by going to website directory in root folder and running following command -- node app.js
• You can open the application by going to http://localhost:3001 or you can visit our deployed project on http://cmpe239.ritvick.com
• To get the data imported in the repository you will have to fire a pst request to http://localhost:3000/getdata
• For R scripts you will have to download the RStudio and RCompiler and use the data files in CSV folder with prefix "data".

• Make sure to run both the servers
• One is sensor data collector and other one is website.
• All the analytics and working code is deployed in cloud at http://cmpe239.ritvick.com
• Repo URL is https://github.com/ritvick/cmpe239