G12-2025-Final Project

h1. 👤 *Kanato NISHIURA*

!{width:300px}kanato.jpg!

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h2. 📋 *Profile Information*

|_. Field |_. Details |

| *Full Name* | Kanato NISHIURA |

| *Student ID* | 2023001 |

| *Role* | Lead Developer |

| *Sub-Team* | Software Development |

| *Email* | tyamamoto@project.edu |

| *GitHub* | "@takeshi-dev":https://github.com/takeshi-dev |

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h2. 💼 *Responsibilities*

*Primary Responsibilities:*

• Developing core image processing algorithms using OpenCV

• Implementing gamma correction and alpha blending features

• Code review and quality assurance

• Coordinating with UML design team for architecture alignment

• Mentoring junior team members on Python best practices

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h2. 🛠️ *Technical Skills*

|_. Category |_. Skills |

| *Programming Languages* | Python ⭐⭐⭐⭐⭐, C++ ⭐⭐⭐⭐, Java ⭐⭐⭐ |

| *Libraries & Frameworks* | OpenCV, NumPy, Matplotlib, SciPy, TensorFlow |

| *Tools* | Git, Docker, VS Code, PyCharm, Jupyter |

| *Other* | Algorithm Design, Image Processing, Agile Methodologies |

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h2. 🎯 *Current Tasks*

|_. Task |_. Priority |_. Status |

| Implement basic image loading functionality | High | ✅ Complete |

| Develop gamma correction algorithm | High | 🔄 In Progress (80%) |

| Create alpha blending module | Medium | 🔄 In Progress (45%) |

| Write unit tests for core functions | Medium | ⏳ Pending |

| Update Doxygen documentation | Low | ⏳ Pending |

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h2. 📊 *Contributions*

h3. *Code Contributions*

• Implemented ImageProcessor base class (350 lines)

• Created utility functions for color space conversion

• Developed testing framework skeleton

• Optimized image loading performance by 35%

h3. *Documentation*

• Created API documentation for core modules

• Wrote developer setup guide

• Contributed to 4 weekly activity reports

• Designed class diagram for image processing pipeline

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h2. 🏆 *Achievements & Highlights*

• Successfully implemented real-time image blending prototype

• Optimized algorithm performance by 40% using vectorization

• Presented project progress at weekly team meetings

• Resolved 15+ critical bugs in initial implementation

• Mentored 3 team members on OpenCV best practices

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h2. 💬 *Personal Statement*

"I'm passionate about computer vision and image processing. This project gives me the opportunity to apply theoretical knowledge to solve real-world problems. I enjoy collaborating with the team and learning new techniques every day. My goal is to create efficient, maintainable code that others can easily understand and build upon."

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h2. 📈 *Weekly Activity*

|_. Week |_. Hours |_. Main Activities |

| Week 1 | 8h | Project setup, environment configuration |

| Week 2 | 12h | Research on image blending algorithms |

| Week 3 | 15h | Initial implementation of core modules |

| Week 4 | 14h | Code review, class diagram discussion |

*Total Contribution:* 49 hours

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h2. 📞 *Contact & Collaboration*

|_. |_. |

| *Best time to reach* | Monday-Friday, 2:00 PM - 6:00 PM |

| *Preferred communication* | Slack DM or Email |

| *Office Hours* | Wednesday 3:00 PM - 5:00 PM (Lab Room 203) |

| *Response Time* | Usually within 2 hours during business days |

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h2. 🎨 *Interests & Hobbies*

• Photography & Image Editing

• Open Source Contribution

• Tech Blogging

• Basketball

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_Profile last updated: October 30, 2025_