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Team Name:

Digital Hackers


Team Members:


Evidence of Work

Planning and Recommendation System

Project Info

Digital Hackers thumbnail

Team Name


Digital Hackers


Team Members


NabanitaG , Yasaswini , Brunda Sree , Binod , Waqas , Shubh , Ankit Bhaskar

Project Description


• COVID-19 has closed borders, reversed globalisation, decoupled supply chains, and marginalised multilateral institutions.
• There is a massive wave of Covid infection, and no one is sure for how long this situation is going to continue
• Planning departments across the world are struggling to find the right balance on when to hit the Pause button and when to restart, the economic activity
• World over the Planning departments of governments is struggling to find the correct balance on when to hit the Pause button and when to restart, the economic activity.
• We intend to assist the planning department by deploying an intelligent technology solution, which not only predicts the trend of the Covid but also recommends when to begin Lockdown and when to commence unlock.
• The recommendations are based on deploying artificial intelligence to forecast Typical Covid wave patterns and then applying logic to provide a recommendation to the Citywide planning department on a predefined department policy.
• The solution has 3 basic parts
o Interactive Screen Flow which allows users to select the demographic details for the recommendation
o The Smart Engine is driven by Predictive analytics along with AI to predict the pattern and the forecast
o Recommendation Engine considers the pattern and the forecast to further which further will be used to assist in data to unlock the economy and the public spaces


#road to recovery #planning #recommendation #dpie #ai #ml #digital process automation #predictive analysis.

Data Story


• The first confirmed case in Australia was identified on 25 January 2020. In the first wave, the country experienced a huge rise in cases, then leveled out at about 350 per day around 22 March and started falling at the beginning of April to under 20 cases per day by the end of the month.
• Till date, Australia has reported more than 40,000 cases, 25,000 recoveries, and 900 deaths.
• Due to the pandemic, restaurants, shopping malls, schools, universities likewise other public gathering places have been shut down and hundreds of thousands of jobs have been lost.
• Mostly the actions by planning departments are reactive in nature and result in massive losses towards lives and livelihood.
• Therefore, Road to recovery is often patchy and full of potholes.
• Currently, the third wave is ongoing in Australia and so far, 29.6% of the people are fully vaccinated while 51.8% of the people got their first jab done. But still, planning departments have to tread caution and have to ensure the fine balance between lives and livelihood.
• Our prediction and recommendation Engine assist by, analyzing the records of the Covid waves that occurred in the past for other countries of similar Demography.
• After analyzing, our system makes predictions of the Covid wave pattern, 7 days moving average, vaccination coverage forecast and accordingly recommends to the Department proactive precautionary actions like begin Lockdown, continue Lockdown, or begin unlocking in a phased wise approach.


Evidence of Work

Video

Team DataSets

Covid-19 Vaccination Data

Description of Use This dataset helped us to understand the present vaccination rate in the New South Wales state of Australia. We have used this dataset to predict the vaccination rate in the coming month.

Data Set

Victorian Covid-19 data

Description of Use We used this dataset to get the daily new Covid cases in the Victoria state of Australia. We used this data to train our forecasting model.

Data Set

NSW Covid-19 data

Description of Use We used this dataset to get the daily new Covid cases in the New South Wales state of Australia. We used this data to train our forecasting model.

Data Set

Covid-19 Data

Description of Use This dataset helped us to get an insight into the daily new Covid cases recorded across the globe. We considered Covid data for few countries from this dataset.

Data Set

Challenge Entries

ROAD TO RECOVERY Public Spaces

How do we build confidence in the community to use public spaces to support economic, social, cultural and environmental recovery, whether in response to Covid-19, or other disasters such as recent bushfires and floods?

Go to Challenge | 12 teams have entered this challenge.