Project: <short description>

[xlumzee]

Project Name

Analyzing the Relationship Between Ocean Temperature Anomalies and Coral Bleaching Events

Description

We explore the impact of ocean temperature anomalies on coral bleaching events. Leveraging a comprehensive dataset of global coral reef observations, this project examines environmental and geographical factors contributing to coral stress and develops predictive models to assess bleaching severity.

Build

No

Train

No

Analyze

Yes

Challenge Topic / Topic Category

• [X] Customized Information Extraction
• [ ] Education
• [ ] Enhancing Accessibility in Healthcare Through AI
• [X] Mitigating Natural Disasters in a Changing Climate
• [ ] Reducing Food Waste Through AI-Powered Innovation
• [X] other - World Issues
• [ ] other - Open-Source
• [ ] other - Scientific Computing
• [ ] other

Project Repository URL

https://github.com/xlumzee/Temperature-and-Coral-Bleaching

Deployed Endpoint URL

No response

Project Video File (not folder) Link (ensure viewer access)

https://drive.google.com/file/d/1wOkp8VwMsV6vqLyQbGYq961Nr-_P018d/view?usp=sharing

Team Members

xlumzee, edesz-522228

[naumnaum]

That's a really impactful project and area, my support and cheers to the team! I'm not sure if you guys are already working on this problem with affilated organization, but if not - i'd suggest you continue working on this topic and reaching out to startups (like WIldflow) or institutions like SCRIPPS, please let me know if you need a help with intro or anything else. Regarding hyperparameter tuning - i think you can try to explore non-discrete methods for optimization (like Bayessian Optimization), it may improve the quality of a model even further, buy Random Search is absolutely enough for hackathon. Please keep pushing this project! All the best!

[xlumzee]

That's a really impactful project and area, my support and cheers to the team! I'm not sure if you guys are already working on this problem with affilated organization, but if not - i'd suggest you continue working on this topic and reaching out to startups (like WIldflow) or institutions like SCRIPPS, please let me know if you need a help with intro or anything else. Regarding hyperparameter tuning - i think you can try to explore non-discrete methods for optimization (like Bayessian Optimization), it may improve the quality of a model even further, buy Random Search is absolutely enough for hackathon. Please keep pushing this project! All the best!

Thank you for your feedback! This idea came through brainstorming because I am a scuba diver. I might need help with understanding how product building works and which startups to target!