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Phasuwut

Full Stack · AI Engineer · Thailand

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© 2026 Phasuwut Chunnapiya

phasuwut.job@gmail.com

AI Meeting Transcription, Summarization & Q&A System (RAG + LLM):

Built an end-to-end system for meeting transcription, summarization, and context-aware Q&A using Whisper, Qdrant, and LLMs, with FastAPI + React for real-time processing and interactive querying.

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Personal ProjectsYear 2026Latest activity 2026-03-24

Project Overview

Objective

Built an end-to-end system for meeting transcription, summarization, and context-aware Q&A using Whisper, Qdrant, and LLMs, with FastAPI + React for real-time processing and interactive querying.

Stack

FastAPINext.jsQdrantWhisperGPT-4o-miniOpenAI text-embedding-3-small

Delivery highlights

  • Developed an end-to-end meeting intelligence system that processes uploaded audio/video by splitting recordings, transcribing speech using Whisper, and generating structured Thai summaries and action items with GPT-4o-mini, while storing transcript embeddings using OpenAI text-embedding-3-small in Qdrant for semantic retrieval; the system enables context-aware Q&A by retrieving relevant transcript segments, returns source-backed answers with traceable references, tracks processing status in real time, and provides a React-based interface for reviewing transcripts, summaries, audio segments, and downloadable reports.
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System workflow

How meeting intelligence works

Recordings are transcribed, summarized, indexed, and later retrieved to answer questions with timestamped evidence.

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System workflow

Meeting processing pipeline

End-to-end flow from recording ingestion through transcription, summarization, indexing, and structured output generation.

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System workflow

Retrieval-augmented Q&A flow

User questions are embedded, matched against indexed transcript segments, and answered with grounded context and timestamps.

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System workflow

Source-reviewed processing sequence

A conservative end-to-end boundary taken from the source audit. Specific endpoints, storage writes, and external calls are only claimed in the project-specific diagrams when the implementation confirms them.

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Project Videos

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Demo Video

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