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44 changes: 44 additions & 0 deletions _data/hackathon/gallery.yml
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# Hackathon 2025 - Event Gallery
# Add your image files to: assets/img/gallery/
# Then add entries below with filename, title, and caption

- filename: "gallery-1.jpeg"
title: "Opening Session"
caption: "Kickoff presentation and welcome ceremony"
category: "Session"

- filename: "gallery-1.jpeg"
title: "Team Collaboration"
caption: "Participants working together on projects"
category: "Collaboration"

- filename: "gallery-1.jpeg"
title: "Coding Session"
caption: "Intensive development and coding workshops"
category: "Workshop"

- filename: "gallery-1.jpeg"
title: "Networking"
caption: "Community building and connections"
category: "Social"

- filename: "gallery-1.jpeg"
title: "Mentorship"
caption: "Expert guidance and mentorship sessions"
category: "Mentorship"

- filename: "gallery-1.jpeg"
title: "Presentation"
caption: "Team presentations and demos"
category: "Presentation"

- filename: "gallery-1.jpeg"
title: "Awards Ceremony"
caption: "Celebrating outstanding achievements"
category: "Awards"

- filename: "gallery-1.jpeg"
title: "Closing Event"
caption: "Final moments and farewell celebration"
category: "Closing"

99 changes: 99 additions & 0 deletions _data/hackathon/hackathon-projects.yml
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# Hackathon 2025 - Submitted Projects
# This file contains all project submissions from the 10th Anniversary Open Targets Hackathon

- id: 1
title: "Target Prediction Engine"
team: "Data Pioneers"
category: "ML Applications"
categoryColor: "primary"
description: "Machine learning model to predict novel drug targets using integrated genomics data, combining genetic associations, pathway information, and expression profiles from the Open Targets Platform."
technologies:
- Python
- TensorFlow
- Open Targets API
githubUrl: "#"

- id: 2
title: "Pathway Explorer"
team: "Viz Masters"
category: "Visualization Tools"
categoryColor: "secondary"
description: "Interactive visualization tool for exploring target-disease associations across biological pathways, enabling researchers to identify therapeutic opportunities through intuitive network mapping."
technologies:
- React
- D3.js
- REST API
githubUrl: "#"

- id: 3
title: "Clinical Trial Matcher"
team: "Clinical Hackers"
category: "Clinical Applications"
categoryColor: "accent"
description: "Tool integrating Open Targets data with clinical trial information to identify the most promising targets for drug development, ranking by safety profile and disease relevance."
technologies:
- R
- Shiny
- PostgreSQL
githubUrl: "#"

- id: 4
title: "Multi-Omics Pipeline"
team: "Integrators"
category: "Data Integration"
categoryColor: "primary"
description: "Automated pipeline for integrating genomics, proteomics, and transcriptomics data from Open Targets to create comprehensive target profiles for prioritization in drug discovery programs."
technologies:
- Nextflow
- Python
- Google Cloud
githubUrl: "#"

- id: 5
title: "Target Prioritization ML"
team: "ML Innovators"
category: "ML Applications"
categoryColor: "secondary"
description: "Deep learning approach for ranking potential therapeutic targets based on druggability scores, disease association strength, and safety profiles from multi-modal data integration."
technologies:
- PyTorch
- Python
- Pandas
githubUrl: "#"

- id: 6
title: "Target Dashboard"
team: "Dash Builders"
category: "Visualization Tools"
categoryColor: "accent"
description: "Comprehensive dashboard for exploring target characteristics, including disease associations, evidence types, and drug development status, with customizable filtering and export capabilities."
technologies:
- Python
- Plotly
- Streamlit
githubUrl: "#"

- id: 7
title: "Safety Profiler"
team: "Safety First"
category: "Clinical Applications"
categoryColor: "primary"
description: "Application for assessing target safety through integration of adverse event data, expression patterns, and genetic constraint metrics to inform early-stage target selection decisions."
technologies:
- JavaScript
- Node.js
- MongoDB
githubUrl: "#"

- id: 8
title: "Literature Miner"
team: "Text Analysts"
category: "Data Integration"
categoryColor: "secondary"
description: "Natural language processing pipeline for extracting target-disease associations from published literature and enriching Open Targets Platform data with real-world evidence from publications."
technologies:
- Python
- spaCy
- Elasticsearch
githubUrl: "#"

28 changes: 28 additions & 0 deletions assets/img/gallery/README.md
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# Gallery Images

## How to add images to the carousel:

1. **Add your image files** to this folder (`assets/img/gallery/`)
- Supported formats: `.jpg`, `.png`, `.gif`
- Recommended size: at least 800px width
- Best aspect ratio: both horizontal (landscape) and vertical (portrait) work

2. **Update the data file** `_data/hackathon/gallery.yml`
- Add an entry for each new image
- Include: filename, title, caption, and category

3. **Example entry:**
```yaml
- filename: "my-photo.jpg"
title: "Event Photo"
caption: "Description of the photo"
category: "Event"
```

## How it works:

- The carousel automatically displays 4 images per slide
- Images are taken from the `gallery.yml` data file
- If an image file is missing, a placeholder icon will be shown instead
- The carousel will create as many slides as needed based on the number of images

Binary file added assets/img/gallery/gallery-1.jpeg
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