GSoC 25 week 13 update by Bishoy Wadea

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+---
+title: "GSoC '25 Week 13 Update by Bishoy Wadea"
+excerpt: "AI Organizer - Image Classification with Machine Learning"
+category: "DEVELOPER NEWS"
+date: "2025-09-11"
+slug: "gsoc-25-BishoyWadea-week13"
+author: "@/constants/MarkdownFiles/authors/bishoy-wadea.md"
+tags: "gsoc25,sugarlabs,week13,BishoyWadea"
+image: "assets/Images/GSOC.webp"
+---
+
+# Week 13 Progress Report by Bishoy Wadea
+
+**Project:** [AI Organizer](https://github.com/Bishoywadea/AI-Organizer)  
+**Mentors:** [Ibiam Chihurumnaya](https://github.com/chimosky)  
+**Assisting Mentor:** [Walter Bender](https://github.com/walterbender/)  
+**Reporting Period:** 2025-09-05 – 2025-09-11 
+
+---
+
+## Goals for This Week
+
+- **Develop new Sugar activity: AI Organizer**
+- **Implement machine learning-based image classification**
+- **Create educational interface for exploring AI capabilities**
+
+---
+
+## About AI Organizer
+
+AI Organizer (Image Classifier) is an educational activity that introduces students to machine learning concepts through hands-on image classification. The activity uses AI to automatically categorize images into animals, shapes, numbers, or objects, helping students understand how computers "see" and interpret visual information.
+
+---
+
+## Achievements
+
+### Core Implementation
+
+- **Activity Framework**  
+  Established Sugar activity structure with AI/ML integration  
+  [Commit]()
+
+- **Machine Learning Pipeline**  
+  Integrated image classification model with pre-trained weights  
+  [Commit](https://github.com/Bishoywadea/AI-Organizer/commit/ee311244568cbf8aa88d56515efc37889939698f)
+
+
+![AI Organizer Interface](https://raw.githubusercontent.com/Bishoywadea/AI-Organizer/refs/heads/main/screen_shots/01.png)
+*Clean interface for image selection and classification*
+
+### User Experience Features
+
+- **Image Selection System**  
+  Created intuitive file browser integration for image selection  
+  [Commit](https://github.com/Bishoywadea/AI-Organizer/commit/ed66375ebdd4d0641762e6f08b3b54ce248865d5)
+
+- **Confidence Display**  
+  Added visual representation of AI confidence levels in predictions  
+  [Commit](https://github.com/Bishoywadea/AI-Organizer/commit/388df0ba44d9816ad496e53e6d02427bd4a24f2c)
+
+
+![Classification Results](https://raw.githubusercontent.com/Bishoywadea/AI-Organizer/refs/heads/main/screen_shots/02.png)
+*AI successfully classifying an image with confidence scores*
+
+## How to Use
+
+1. **Choose Image:** Click the folder button or "Choose Image" to select a photo
+2. **Classify:** Click "Classify Image" to let the AI analyze it
+3. **View Results:** See the category, details, and confidence level
+4. **Try Again:** Use Clear button to reset and try different images
+
+---
+
+## Challenges & Solutions
+
+- **Challenge:** Running complex ML models on resource-constrained XO laptops while maintaining responsive performance.
+
+- **Solution:**  
+  - Used lightweight, quantized models optimized for edge devices
+  - Implemented lazy loading to reduce initial memory footprint
+  - Created efficient image preprocessing pipeline
+  - Added progress indicators during classification to improve perceived performance
+
+- **Challenge:** Making abstract AI concepts understandable for young students.
+
+- **Solution:**  
+  - Designed visual confidence meters instead of numerical percentages
+  - Used familiar category names and simple explanations
+  - Created interactive tutorials showing step-by-step AI decision process
+  - Added "Why did AI think this?" explanations for each classification
+
+---
+
+## Key Learnings
+
+- Gained experience in deploying ML models in educational environments
+- Learned to balance model accuracy with computational constraints
+- Developed skills in making AI technology accessible to young learners
+- Improved understanding of edge computing optimization techniques
+
+---
+## Next Week's Roadmap
+
+- **Final GSoC Documentation**
+  - Prepare comprehensive final report documenting all 10 activities
+  - Compile user feedback and testing results
+  - Prepare presentation materials for final evaluation
+  - Submit pull requests for official Sugar Labs activity repository