The repository contains my back end android and web app development work for the project Coastal Area Data Collection for Vulnerability Assessment and analyzing Machine Learning Approaches. It was a Govt. funded research, jointly supervised by the Department of Environment, Government of People’s Republic of Bangladesh and Department of Environmental Science and Management, North South University. I worked as a back end developer for building an android application for data collection and a web platform to project the data and crucial information running SQL queries. The other contributor worked in Front end development. In another part of the project, I was given the responsibility for dimensionality reduction of vulnerability assessment. Based on a partial dataset I applied Backward elimination, L1 Based Feature Selection and Low Variance Feature Removal techniques to analyse the feature selection process. This project has been nominated to be used on a massive scale to gather non private data of coastal areas’ people to improve their lives styles and disaster vulnerability assessment. I am currently working as a technical advisor in the project.
This repository contains the android and laravel development work for my Interdisciplinary research work in NSU Department of ESM. The android app has been developed for conducting the surveys and a dedicated web app was developed with Laravel to pull the survey results. The work is under modification currently.
The repository contains my back end android and web app development work for the project Coastal Area Data Collection for Vulnerability Assessment and analyzing Machine Learning Approaches. It was a Govt. funded research, jointly supervised by the Department of Environment, Government of People’s Republic of Bangladesh and Department of Environmental Science and Management, North South University. I worked as a back end developer for building an android application for data collection and a web platform to project the data and crucial information running SQL queries. The other contributor worked in Front end development. In another part of the project, I was given the responsibility for dimensionality reduction of vulnerability assessment. Based on a partial dataset I applied Backward elimination, L1 Based Feature Selection and Low Variance Feature Removal techniques to analyse the feature selection process. This project has been nominated to be used on a massive scale to gather non private data of coastal areas’ people to improve their lives styles and disaster vulnerability assessment. I am currently working as a technical advisor in the project.