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src/constants/MarkdownFiles/authors/diwangshu-kakoty.md

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name: "Diwangshu Kakoty"
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slug: "Commanderk3"
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slug: "diwangshu-kakoty"
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title: "GSoC'25 Contributor"
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organization: "SugarLabs"
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description: "Member and GSoC'25 Contributor at SugarLabs"

src/constants/MarkdownFiles/posts/2025-06-08-gsoc-25-diwangshu-week01.md

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# Week 01 Progress Report by Diwangshu Kakoty
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**Project:** [AI Tools for Reflection](https://github.com/Commanderk3/reflection_ai)
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**Project:** [AI Tools for Reflection](https://github.com/Commanderk3/reflection_ai)
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**Mentors:** [Walter Bender](https://github.com/walterbender), [Sumit Srivastava](https://github.com/sum2it)
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**Assisting Mentors:** [Devin Ulibarri](https://github.com/pikurasa), [ Ajeet Pratap Singh](https://github.com/apsinghdev)
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**Reporting Period:** 2025-06-01 - 2025-06-07

src/constants/MarkdownFiles/posts/2025-06-15-gsoc-25-diwangshu-week02.md

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title: "GSoC ’25 Week 02 Update by Diwangshu Kakoty"
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excerpt: "Multi-AI Agent Chat Model"
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category: "DEVELOPER NEWS"
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date: "2025-06-04"
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slug: "2025-06-04-gsoc-25-Diwangshu-week01"
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date: "2025-06-15"
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slug: "diwangshu-kakoty"
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author: "@/constants/MarkdownFiles/authors/diwangshu-kakoty.md"
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tags: "gsoc25,sugarlabs,week01,AI"
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tags: "gsoc25,sugarlabs,week02,AI"
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image: "assets/Images/GSOC.png"
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<!-- markdownlint-disable -->
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# Week 02 Progress Report by Diwangshu Kakoty
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**Project:** [AI Tools for Reflection](https://github.com/Commanderk3/reflection_ai)
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**Project:** [AI Tools for Reflection](https://github.com/Commanderk3/reflection_ai)
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**Mentors:** [Walter Bender](https://github.com/walterbender), [Sumit Srivastava](https://github.com/sum2it)
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**Assisting Mentors:** [Devin Ulibarri](https://github.com/pikurasa), [Ajeet Pratap Singh](https://github.com/apsinghdev)
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**Reporting Period:** 2025-06-08 - 2025-06-14
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**Solution:** I first implemented the second option because it is simple and works fine, but the summary generation needs to be done separately for each agent, which I don't think is ideal. Therefore, I have decided to try the first option. I have already started working on it. I need to fix some bugs, and it will be completed by tomorrow (2025-06-16).
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- **Challenge:** Retrieved context is irrelevant when the project code is passed. The retriever component returns three chunks arranged in priority. However, a project code can contain many keywords, making the retriever not particularly useful.
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**Solution:** I am considering scanning all the keywords (like block names) first and passing their information to the LLM. This data will be stored in a dictionary. Example:
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```python
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## Key Learnings
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- The prototype for this project is developing in Streamlit and I am learning Streamlit a lot.
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- The prototype for this project is developing in Streamlit, and I am learning Streamlit a lot.
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- Also gainig experience in LangChain as this is the primary tool of development.
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