Forecasting Weather With Deep Learning to Improve Weather Forecast Models
This is a paid opportunity. In order to be eligible to apply for this project, you need to be part of the Omdena community and have finished at least one AI Innovation Challenge.
You can find our upcoming AI Innovation Challenges at https://omdena.com/projects.
The problem
The problem that this project is trying to address is to improve the accuracy of weather forecasts provided by meteorological institutes by leveraging Rebase’s big database of weather data. By leveraging this data, the models can learn to identify patterns and make more accurate predictions about future weather conditions. Weather forecasts are crucial for various industries, including agriculture, transportation, and energy, as they help people make informed decisions about their daily activities.
Improving the accuracy of weather forecasts can have significant benefits for various industries. For example, accurate weather forecasts can help farmers make informed decisions about when to plant and harvest their crops, which can increase yields and reduce waste. Accurate weather forecasts can also help transportation companies plan their routes more efficiently, which can save time and reduce costs. Overall, this project has the potential to improve the accuracy of weather forecasts and benefit various industries that rely on them.
The project goals
The primary goal of this project is to improve weather forecast models provided by meteorological institutes leveraging deep learning and data. There already exists a dataset that will be provided to the people selected for working on the project.
Project Scope:
- Big data Analysis and processing
- Benchmarking with different models and approaches
- Building a machine learning model that beats the accuracy of the existing models.
**More details will be shared with the selected team.
Why join? The uniqueness of Omdena Top Talent Projects
Top Talent opportunities come as a natural next step after participating in Omdena’s AI Innovation Challenges.
Everyone in the community is eligible to participate once they have shown the relevant skills based on the merit of involvement in past Omdena challenges and the community.
If you are looking for the next challenge after participating in one or more Omdena AI Innovation Challenges, then we believe you have made the right choice! With a healthy, pressured environment, you will be pushed to contribute, learn and grow even more.
Find more information on how an Omdena Top Talent Program works
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Eligibility to join an Omdena Top Talent project
Finished at least one AI Innovation Challenge
Received a recommendation from the Omdena Core Team Member/ Project Owner (PO) is a plus
Skill requirements
Good English
Machine Learning Engineer
Experience working with Smartphone Sensor Data is a plus.
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