🧠 SPARK Academy – Team Algeria Repository

Welcome to the official repository for Team Algeria's journey in the SPARK Academy 2025!
This repository documents our learning path through weekly tutorials, assignments, hackathons, and our final research paper for the MICAI Brain Tumor Segmentation Challenge.

---

📌 Table of Contents

• Overview
• Contributors
• Repository Structure
• How to Use
• Resources
• License

---

🧭 Overview

This repository serves as a complete resource for our participation in SPARK 2025, a hands-on training program focused on medical imaging, machine learning, and brain tumor segmentation. Our journey includes:

• 📚 Weekly tutorials by domain experts
• 🧪 Assignments for applying learned concepts
• 🧠 Hackathons to solve real-world challenges
• 📝 A final research paper on brain tumor segmentation (MICAI 2025)

---

👥 Contributors

Meet the members of Team Algeria:

• @Tarek Sibachir
• @Assala Benmalek
• @Rania Benadjal
• @Abderahim khefif
• @Badri Amouri

---

📁 Repository Structure

SPARK-Team-Algeria/
│
├── Tutorials/       # Weekly lessons on Python, ML, DL, and medical imaging
├── Assignments/     # Practice exercises aligned with tutorials
├── Hackathons/      # Project challenges fostering collaboration & innovation
├── Papers/          # Final research paper & drafts for MICAI 2025
├── Resources/       # External links, articles, videos, tools, etc.
└── Datasets/        # Sample datasets for tutorials (larger ones linked in Resources)

---

🚀 How to Use

1. Clone the repository:

   git clone https://github.com/SPARK-Academy-2025/SPARK-Team-Algeria.git
   cd SPARK-Team-Algeria

2. Navigate by topic:

   • Start with Tutorials/ to follow the curriculum week by week.
   • Try the corresponding Assignments/ to test your understanding.
   • Participate in Hackathons/ for practical applications.
   • Read the Papers/ folder to track our final research outcomes.
   • Use Resources/ to deepen your knowledge.

3. Datasets Note:

   • Small datasets are included in the Datasets/ folder.
   • Large or licensed datasets are linked in the Resources/ folder due to size or usage constraints.

---

📚 Resources

A collection of helpful links, articles, and tools related to:

• Medical Imaging
• Brain Tumor Segmentation
• Python, PyTorch, MONAI
• Research tools and paper writing

See the Resources/ folder for a curated list.

---

📄 License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).