Add Week 13 Report by Aman Chadha

Author: ac-mmi

src/constants/MarkdownFiles/posts/dmp-25-AmanChadha-week13.md

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+---
+title: "DMP '25 Week-13 Update: Japanese & Hindi Translations and GPT Validation System"
+excerpt: "This week: Completed Japanese and Hindi translations, and built a GPT-assisted Selenium system to validate translations for review."
+category: "DEVELOPER NEWS"
+date: "2025-09-15"
+slug: "2025-09-15-dmp-25-weekly-update-aman-chadha"
+author: "@/constants/MarkdownFiles/authors/aman-chadha.md"
+tags: "dmp25,sugarlabs,weeklyupdate,aman-chadha"
+image: "assets/Images/c4gt_DMP.png"
+---
+
+# Weekly Update: Expanding Language Coverage and Translation Validation
+
+Project: [JS Internationalization with AI Translation Support](https://github.com/sugarlabs/musicblocks/pull/4731)  
+Mentors: [Walter Bender](https://github.com/walterbender), [Devin Ulibarri](https://github.com/devinulibarri)  
+Week: September 15 – September 17, 2025  
+
+---
+
+## Japanese & Hindi Translation Completion
+
+This week, I successfully generated the full Japanese and Hindi `.po` files using the AI-assisted translation pipeline:  
+- Leveraged the RAG context JSON for each UI string to provide accurate, context-aware translations.  
+- Ensured that ambiguous strings (e.g., “duck” for pitch vs. volume) were translated correctly with context guidance.  
+- Produced fully functional `.po` files ready to be integrated into Music Blocks for Japanese and Hindi users.  
+
+This significantly expands the accessibility of Music Blocks to learners worldwide.
+
+---
+
+## GPT-Assisted Translation Validation System
+
+To ensure high-quality translations, I developed a Selenium + GPT validation system:  
+- Selenium Automation: Loads Music Blocks UI in a browser, extracts all visible strings, and compares them with translated `.po` files.  
+- GPT Analysis: Checks whether the translated string preserves the correct meaning, flags potential errors, and generates a summary of questionable translations.  
+- Manual Review: Highlighted incorrect translations are then sent to a human translator for verification and correction.  
+
+This system allows us to:  
+- Detect translation errors automatically before merging into the main codebase.  
+- Maintain a feedback loop between AI translations and human reviewers.  
+- Ensure a high-quality, context-aware localization workflow.  
+
+---
+
+## Outcome This Week
+
+- Generated working Japanese and Hindi `.po` files.  
+- Built a Selenium + GPT pipeline for translation verification.  
+- Flagged incorrect translations for review, improving translation accuracy and reliability.  
+
+---
+
+## Next Steps
+
+- Integrate Japanese and Hindi translations into the Music Blocks repository via PRs.  
+- Expand GPT validation system to support additional languages.  
+- Begin building a translator dashboard to simplify manual review and correction of flagged translations.  
+
+---
+
+## Reflection
+
+This week marked a major milestone: expanding Music Blocks’ localization coverage and creating a robust validation pipeline. By combining AI translations with automated validation and human review, we ensure learners can access Music Blocks in multiple languages with confidence in translation accuracy and clarity.