THE COMPETITION HAS ENDED
1st Place: VirtEnvHackathon
2nd Place: SenseAnomali
3rd Place: Autoencoder
- Cash Prize: $ 15,000.00
FIRST RUNNER UP PRIZE
- Cash Prize: $ 5,000.00
SECOND RUNNER UP PRIZE
- Cash Prize: $ 3,000.00
Soil and Land Pollution
Loss of Biodiversity
Sample Training Data
Each of the 23 sensors is sampled at 15 minute intervals, therefore a day has 96 values per sensor concatenated with its sensor peers in the following order:
sensorList = ( ‘co2_1′,’co2_2’, ‘co2_3’, ‘co2_4’,
‘temp_1’, ‘temp_2’, ‘temp_3’, ‘temp_4’,
‘dew_1′,’dew_2’, ‘dew_3’, ‘dew_4’,
‘instLight_1’, ‘instLight_2’, ‘instLight_3’,
‘relH_1’, ‘relH_2’, ‘relH_3’, ‘relH_4’,
) + day and hour index
Additional details will be provided at the competition.
Amazon SageMaker is a fully-managed machine learning platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker includes the most common machine learning algorithms and is also pre-configured with the latest versions of frameworks such as TensorFlow and Apache MXNet.
NVIDIA GPUs along with the CUDA-X AI libraries are supported on AWS EC2 P & G instances as well as AWS SageMaker for Training & Inference. NVIDIA GPUs are the most widely adopted platform for DL training and the most performant for real-time inference, and accelerate all deep learning frameworks. This complete platform saves data science researchers and developers time and money, letting them bring next-generation AI-powered services to life.
Amazon EC2 G4 Instances
G4 instances are optimized for machine learning application deployments (inference), such as image classification, object detection, recommendation engines, automated speech recognition, and language translation that push the boundary on AI-innovation and latency.
Tutorials & Sample Code
Each attendee will receive $100 AWS credits to build out their solutions. You will be given your code once the competition begins on July 30. Make sure to create an AWS Account before.
Each submission will be scored in each round based on the following criteria with a minimum score of 0 and maximum score of 20 points, with the final score being the average of the judges’ scores:
- Teams of up to 5 participants are allowed. All team members must have completed the participation agreement to compete.
- Participants must be 18+ years old by the start of the hackathon and a resident of the United States.
- You may not begin your project until the competition officially begins. Please don’t build on top of previous projects if you want to win.
- Winning teams will be subject to a code-review at some point following the event or immediately before winning.
All developers, designers, and entrepreneurs who are 18+ and residences of the United States.
Teams can be created in advance using the Environmental Hackathon Slack channel and can be comprised of 1 to 5 individuals.
All code developed as part of the Environmental Hackathon event must be fresh. Before the start of the hackathon, developers can create wireframes, designs and user flows. They can also come with hardware. But to keep things fair, all code must be written during the official hackathon time period. Other than that, almost anything goes and you can use any coding languages or open-source libraries.