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Build rich interactive interfaces to ASDI S3 data
A tool to combine datasets to generate green space suggestion heat map in cities.
A tool to help the African farming community to optimize crop production
As climate change accelerates, water usage planning is crucial for small communities who depend on water bodies. We seek to empower people at ground level, who needn't be tech savvy with our solution.
Reducing the risk of wildfires and emissions is highly relevant. This project assists indigenous stewards to do this while creating renewable energy, offsets, fertilizers, biodiversity and jobs.
Data visualisation and exploration through a 3D Earth! Contains information about poverty, air pollution, earthquakes, and endangered species.
Here, we developed robust models that can help to predict the air quality in certain areas of the United States under six different scenarios.
Map & analyze urban green areas development and visualize them so that the resulting information is easy to understand. Outcomes of this project shall be transferable to other cities.
A solution that helps African farmers improve agriculture productivity by using Machine Learning dataset to determine soil property and recommend what crops to plant.
Entropy analysis of air quality indicators using OpenAQ data sets to achieve the Goal 11 by UN's Sustainable Development Goals
An AI Study to Quantifier and Analyze the Contribution of the War in Ukraine on Global Carbon Monoxide Emissions.
SchoolAssist is a project that combines six AWS services and machine learning on ASDI data to create a full stack app that allows users to easily find the best schools in affordably priced areas.
Utilities for processing Nightlights data from the ASDI Catalog and hosted on AWS
To combat for Climate change
Re-imagine farming with Asaan4Kissan
Monitoring tools for road incident management. Crowdsourcing information sharing for safer roads with Metamask, Chainlink, Metis, zksync, Scroll, Avalanche, Eth, Polygon ZkEVM
Enabling the bottom of pyramid through EHR, AWS Comprehend, AWS ASDI datasets, ICON and Near blockchain, open source PACS solution and open source spreadsheet analytics, blockchain tools.
Find Out where exactly to put your farm and grow good food within Africa.
This simple web application uses NOAA instantaneous rainfall and AFSIS soil data to solve the UN SDGs of ZERO HUNGER and CLIMATE ACTION by determining what plants to grow in a given location.
Using open data to identify and plan where to plant native trees in underused public spaces delivering climate benefits, promoting social & economic outcomes and fostering community engagement.
What would happen if you have a map of all public policies around the world? What if such map can relate sustainability between countries? Ok, let´s build it.
One person's trash is another person's treasure.
Predicting the presence of locust hoppers and swarms based on climate simulations from 1980-2100
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