ALIVE
Our Project aims to solve the current huge problem of Oxygen and Vaccination due to COVID-19 pandemic. We address this issue and try to give a solution through building a platform for proper criteria wise data collection, storing of data in an organized way, processing the data to represent it graphically and in tabular format on our website for all to have a clear picture, and predicting the future movement of the graphs and values for further preparation and assessing present condition to address it better. We target all stakeholders of the oxygen and vaccine production and supply chain. We bring up the efforts of those local small organizations as well who are working hard to supply needy people with oxygen and vaccine.
Website: DATA FILLING BY USERS AND COLLECTION. DATA CAN BE GRAPHICALLY AND TABULARLY VISUALISED ON OUR WEBSITE ANYONE CAN SEE HOW MANY PEOPLE NEED OXYGEN< ARE VACCINATED or ARE LEFT TO GET VACCINE, etc.
Database: THE DATA COLLECTED IS STORED AND PROCESSED TO GIVE OUT GRAPHS, FEEDED TO MACHINE LEARNING AND DEEP LEARNING ALGORITHMS TO PREDICT FUTURE AND PRESENT CONDITION.
Graphical Visualization DATA TO GRAPHS AND PIECHARTS AND TABLES
ML and DL DATA FEEDED TO MACHINE LEARNING AND DEEP LEARNING ALGORITHMS TO PREDICT FUTURE AND PRESENT CONDITION.
Data Filling Process by the Users in their respective sector through our website. We provide few set of questions and user has to answer those and data gets collected and stored.
Frontend of the website: HTML , CSS , JAVASCRIPT , BOOTSTRAP, Hosting using Azure Storage Backend of the website: Azure function API for Python framework - Django , AZURE Postgres Services DATABASES : AZURE database for PostgreSQL OR AZURE Cosmos DB ML and DL : PYTHON , PyTorch, Azure Machine Learning Studio, Azure Data science VM.
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