EDITED v. 30
Energy Infrastructure from Remote Sensing Team Beta
Estimate energy production from open data, and help to inform cantonal energy planning.
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Project Evaluation
| [Criterion] | [Rating & Justification] |
|---|---|
| Technical Functionality | 3 (Good) |
| User Experience | 1 (Poor) |
| Skillful Use of AI | 2 (Fair) |
| Uniqueness / Creativity / Fun Factor | 3 (Good) |
| Potential / Market Impact | 3 (Good) |
| Summary | Despite missing a fully functional prototype and clearly described User Experience, this project has a solid foundation of idea with meaningful goals. With refinement and further development (especially focusing on document structure and prototype), enormous potential is realizable. |
Suggestions for improvement
- Documentation: Enhance description of technical approaches and implement frontend design. Provide an interactive, even if rudimentary, prototype to help judges and future users understand the user interaction. Detail AI methods used and their benefits.
- Technical functionality: Outline steps needed to achieve the goal, even if not all were implemented. Showcase work-in-progress code, if available.
- AI application: Clearly explain what AI techniques were considered (e.g., computer vision, data analysis etc.), discuss any challenges encountered, and highlight innovative solutions.
- User Experience: Lay out wireframes, mockups, and describe the intended user journey (interaction). Highlight any component that worked well.
- Market Impact: Include a brief market analysis showing comparable solutions and how this approach is unique or improves upon past efforts.
Overall, while the idea and team collaboration seem promising, the rapid nature of hackathons means future development and documentation are essential for showcasing full potential. This project is a nucleus worth fostering further.
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1 month ago
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loleg
Event finish
just on the run to get everything done. Thank you so much, Luca!
1 month ago
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Monika
just an amazing good working team. thanxx!
1 month ago
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Monika
what a joy with so much learnings. you are all just so helpful. we had such a good time. 
we are just grateful (Peter and Monika)
1 month ago
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Monika
We organized a event faster pc to get things done. Thank you, Oleg! Luca with more power on the way!!!!
1 month ago
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Monika
Publish
Prototype
Team Beta with Fatma, Luca and George. Just very focused and a good team. Thank you. 
1 month ago
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Monika
Training
2 wonderful teams are working on our challenge. Thank you all very much for your effort.
1 month ago
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Monika
Research
Merge pull request #3 from longobucco/plot
Plot
YOLO Training Model
Updated requirements
Orthophotos script
Ortophoto (5k / 8k downloaded from positives dataset)
Merge branch 'plot'
upd
Merge pull request #2 from longobucco/plot
Dataset update
Dataset update
DS_Store
Readme
Dataset update
Research
Readme update
Here's our Git Repo: https://github.com/longobucco/bern-solar-panel-detection
Team: Luca, Fatma and George
2 months ago
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longobucco
Research
Merge pull request #1 from longobucco/plot
Plot
The team has been processing orthophotos and satellite data, to try to detect solar panels. There is more literature available, and we expect clearer results. Manual classification of polygons vs. georeferenced points are what two subgroups are working.
2 months ago
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loleg
Final map
Map update
dataset plot
Solar panels in BERN
first commit
JOINED
2 months ago
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george_pacey
Start
update pitch to include option of focussing on solar panels
2 months ago
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PeterZweifel
add pitch slides
2 months ago
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PeterZweifel
added link to Zotero bibliography
2 months ago
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PeterZweifel
Hackathon Bern
Using Runpod you can quickly start a machine - use this link to get credits - I recommend the PyTorch 2.4.0 template with RTX 5090 with 15 VPUs as your project seems quite CPU bound, and not just GPU.