Support of Unit Of Measure conversion in istSOS3: The aim of my project primarily is to add plugins in istSOS3 for unit of measure conversion. The user can convert unit in another specified unit using plugins. For Unit of measure conversion in istSOS3 we added postgresql-unit and pint libraries which has a powerful feature of unit conversion along with many unit conversion specified functions instantly and all types operations supports to istsos3 data like add, subtraction, multiplication and division with magnitude and units.
Tools: Tornado(Python web framework and asynchronous networking library), PostgreSQL, Pint, postgresql-unit.
Data analysis and statastical tool suit: istsos2 provides easily manage your sensor network and distribute your data in a standard way. which is be used to automate the creation of statisticate documents using OAT(Observation analysis tool) and harvesting the data from an istSOS server.
Tools: ExtJS, Dygraph.js, D3.js, Data analysis, Python, PostgreSQL, Pandas, Numpy, Scipy.
Data Fusion of hyperspectral and panachromatic images: satellite sensors provide mainly two types of images: spatially high informative data and spectrally high informative data. pan sharpening is one kind of data fusion become very wide spread method which populate the spectral band information with the influence of high spatial information.
Tools: Satellite images(Chandrayan), Fusion Algorithm, Java
fossasia: bug fixing, added feature in susi android app (chat bot). istSOS: bug fixing in java api which is used in andoid application. Gcompris: bug fixing, added activity in education software suit.
Tools: Python, Android, Java, C++.
Worked on location based services application which provide services at any location near services provider and also made friend module.
Tools: Android, Mysql, Google map.
Krishna Graphics, ixlonline Jammu.
CakePHP, Android, CoraldrawX3, Adobe Illustrator, Adobe Photoshop
Under Chief Research Scientist Dr. S N Omkar, Indian Institute of Science, Banglore. My paper published in 38th Asian Conference on Remote Sensing (ACRS 2017).
Tools : Java, Hadoop Libraries