[GSoC 2026] Interest: Chipathon Knowledge Hub + "Ask Chipathon" Chatbot #9582
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harsh-kumar-patwa
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Hi @harsh-kumar-patwa , Thanks for your interest! Please stay tuned for the finalized project list, which will be available in early March 2026. Best, |
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Hi @harsh-kumar-patwa , please check out the following link for the finalised projects. We have also created a discord for this year's edition, do hop on and say hi! Project List: https://docs.google.com/document/d/1X6xxUonxgEQ_iD5G5vFp2ZOH1vbkRSspEdYrpSf4khE/edit?usp=sharing |
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Hi @msaligane and @luarss,
I am reaching out to express my interest in the Chipathon Knowledge Hub + "Ask Chipathon" Chatbot project for GSoC 2026.
What really draws me to this project is the problem it is solving. Chipathon participants deal with scattered information across GitHub repos, Slack threads, Google Docs, and past guidance — and that makes onboarding and debugging unnecessarily painful. Having a single knowledge hub backed by a RAG chatbot that can point users to the right answer with citations feels like it could genuinely change the participant experience.
I am a Computer Science student at BITS Pilani, currently interning as an SDE. I have a strong interest in AI/ML and have hands-on
experience building RAG-based systems — including one that implements a full pipeline with embedding, vector indexing, query
classification, retrieval, and response generation with source attribution using Gemini API. The architecture is very similar to what the "Ask Chipathon" chatbot would need — classifying user queries, retrieving from domain-specific documents, and generating grounded responses with clear citations. Applying this to a domain as specialized as chip design is genuinely exciting to me.
A few things I have been thinking about for this project:
I would love to start working on a small proof-of-concept if there are any specific data sources or documentation you would recommend I look at first.
Looking forward to hearing from you!
Best regards,
Harsh Kumar
LinkedIn | GitHub
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