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Week 01 blog post (sugarlabs#192)
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---
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name: "Aman Naik"
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slug: "amannaik247"
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title: "DMP'25 Contributor"
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organization: "SugarLabs"
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description: "DMP'25 Contributor at SugarLabs"
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avatar: "https://avatars.githubusercontent.com/u/168978808?v=4"
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---
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<!--markdownlint-disable-->
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# About Aman Naik
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I’m someone who loves building smart tools that make life a little easier—whether it’s a chatbot that talks like Lord Krishna or a system that helps forecast real-time prices. I’ve explored everything from AI and machine learning to satellite data and creative writing prompts. I enjoy blending tech with storytelling, finding joy in both solving real problems and crafting meaningful experiences. For me, coding isn’t just logic, it’s a way to create things that connect with people.
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## Experience
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- DMP'25 contributor for SugarLabs
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- Active Open Source Contributor
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## Current Projects
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Adding an AI-assistant to the Write Activity
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## Connect with Me
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- **GitHub**: [@amannaik247](https://github.com/amannaik247)
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- **Email**: [[email protected]](mailto:[email protected])
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- **LinkedIn**: [Aman Naik](https://linkedin.com/in/aman-naik)
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---
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title: "DMP ’25 Week 1 Update by Aman Naik"
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excerpt: "This week's focus was exploring the write-activity codebase, finding appropriate grammar correction models & understanding Abiword documentations."
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category: "DEVELOPER NEWS"
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date: "2025-06-08"
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slug: "2025-06-08-dmp-25-AmanNaik-week01"
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author: "@/constants/MarkdownFiles/authors/amannaik247.md"
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description: "Member and DMP'25 Contributor at SugarLabs"
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tags: "dmp25,writeactivity,write,sugarlabs,week01,amannaik247"
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image: "assets/Images/c4gt_DMP.png"
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---
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<!-- markdownlint-disable -->
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# Week 1 Progress Report by Aman Naik
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**Project:** [Add an AI-assistant to the Write Activity](https://github.com/sugarlabs/write-activity/issues/52)
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**Mentors:** [Walter Bender](https://github.com/walterbender), [Ibiam Chihurumnaya](https://github.com/chimosky)
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**Reporting Period:** 2025-06-02 - 2025-06-08
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---
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## Goals for This Week
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- **Goal 1:** Understand write activity's codebase.
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- **Goal 2:** Explore pertinent grammar correction models for real time grammar correction
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- **Goal 3:** Understand the [Abiword](https://github.com/AbiWord) word-processor documentation
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---
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## This Week’s Achievements
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1. **Understood the activity's codebase**
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- Gained a clear understanding of the overall structure and logic of the Write activity's codebase.
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- This includes identifying key components, data flow, and how the Abiword processor is leveraged for this activity.
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2. **Explored pertinent grammar correction models**
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- Shortlisted grammar correction models suitable for real time grammar correction and can be used with an open source software.
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- Created API endpoints using Hugging Face spaces for quick testing in sugar.
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3. **Understood the Abiword processor**
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- Abiword is an open source word processor, which is leveraged by the write activity.
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- It has a parser called 'link-grammar' that was recently developed, which might be useful for grammar correction as well.
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---
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## Challenges & How I Overcame Them
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- **Challenge:** Difficulty in finding reliable grammar correction models on hugging face which can also be compatible open source software.
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**Solution:** Found link-grammar that could be an option for reliable grammar correction feature. Also, found some hugging face models(relevant license) after rigorously searching.
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- **Challenge:** Testing hugging face models with no inference points and testing them inside Sugar.
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**Solution:** Most Hugging Face models can’t be installed directly in Sugar because they require heavy dependencies like Torch and Transformers, which increase memory usage in a virtual machine. Therefore, I used hugging face spaces and ran the models there, which also provides API endpoints for quick testing inside Sugar.
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---
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## Key Learnings
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- Gained a solid understanding of the Write activity's code structure and how it integrates the Abiword processor.
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- Explored lightweight, open-source grammar correction models and successfully tested them using Hugging Face Spaces via API endpoints.
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- Discovered that Abiword’s link-grammar parser might be leveraged for native grammar correction within the activity.
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---
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## Next Week’s Roadmap
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- Finalise a grammar correction model and fine tune it if needed
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- Create a FastAPI endpoint and upload the selected model on AWS for testing
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- Integrate grammar correction into write-activity
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- Explore better spelling correction models
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---
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## Acknowledgments
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Thank you to my mentors, the Sugar Labs community, and fellow contributors for your continued guidance and support!
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---
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## Connect with Me
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- GitHub: [@amannaik247](https://github.com/amannaik247)
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- LinkedIn: [Aman Naik](https://www.linkedin.com/in/aman-naik/)
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