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Update allSubmissions.json - 2026-07-10
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‎projects/allSubmissions.json‎

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"submission_date": "2026-04-30",
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"video_url": "https://youtu.be/2-E-i5EQIcE",
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"TS": false
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},
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{
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"project_title": "Federal Open Market Committee Minutes Analysis with Large Language Models",
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"project_id": 258,
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"tech_trend": [
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"Artificial Intelligence",
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"Computational Finance"
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],
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"submission_title": "MATLAB-First RAG Platform for FOMC Minutes Intelligence with Multi-Provider LLM Routing",
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"summary": "A MATLAB-driven RAG system that ingests FOMC minutes, generates embeddings via all-MiniLM-L12-v2, stores vectors in PostgreSQL+pgvector, and queries multiple LLM providers for policy analysis.",
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"tags": [
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"Natural Language Processing",
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"Text Analytics",
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"RAG",
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"Computational Finance",
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"Deep Learning"
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],
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"authors": "Karan Chhunchha",
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"affiliation": "Department of Computer and Information Technology, HNGU Patan",
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"repo_url": "https://github.com/Karanchhunchha/fomc-ai-analyzer",
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"submission_date": "2026-07-10",
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"video_url": "",
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"TS": false
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}
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]

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