Asha Hounsanur

To work with progressive organization and seek a challenging carrier which nourishes my passion to excel by grabbing the opportunities to learn new technologies accept responsibilities and their by enhance and sharpen my creative and analytical skills for the benefit of the organisation and evenmyself

• AWS solution architect-certfiction no-AWSC-1149
• Devops certification-DOEC-950

• Painting
• sketching
• crafts
• cooking

• Time sense
• Good listener,
• Hard worker
• Self motivating and dedicated to work
• Good learner

Environment Pollution Monitoring System 08/2018 -06/2019
project Member -Final year project

• project In this project, an IOT-based method to monitor the Air Quality Index and the Noise Intensity of a region, have been proposed.
• The recommended technology comprises of four modules namely, the Air Quality Index Monitoring Module, the Sound Intensity Detection Module, the Cloud-based Monitoring Module and the Anomaly Notification Module.
• Firstly, the Air Quality Index is measured considering the presence of the five criteria air pollutants. Then the sound intensity is detected using respective sensor.
• After that, the Cloud-based Monitoring Module ensures the process of acquiring the data with the help of Wi-fi-module present in Raspberry Pi which fulfils the objective of analysis of information on a periodical basis. I
• t encompasses all the processes involved in getting new software or hardware operating properly in its environment, including installation, configuration, running, testing, and making necessary changes.
• Specifically, it involvescoding the systemusing a particular programming language and transferring the design into an actual working system.