PORTFOLIO
PROJECT • AI • PRODUCTION
MEETING INTELLIGENCE
AI-POWERED INTELLIGENCE PIPELINE FOR MICROSOFT TEAMS MEETINGS
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CLAUDE AI
EXTRACTION
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BERT
SENTIMENT
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PRESIDIO
PII REDACTION
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RAG
SEMANTIC SEARCH
TECHNICAL SPECIFICATIONS • MEETING INTELLIGENCE
SYSTEM ARCHITECTURE
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PIPELINE • TWO TIERS
CAPABILITIES
→ Structured extraction with Claude AI + Instructor
→ Per-speaker sentiment analysis with multilingual BERT
→ Automatic PII redaction with Microsoft Presidio
→ Semantic search (RAG) with Redis Vector Store
→ File upload: VTT, DOCX, DOC, PDF, Markdown
→ Automatic classification: Ordinary vs Sensitive
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STACK • TECHNOLOGIES
INFRASTRUCTURE
CLAUDE HAIKU 4 + INSTRUCTOR (LLM)
BERT MULTILINGUAL (SENTIMENT)
MICROSOFT PRESIDIO (PII)
SENTENCE TRANSFORMERS (EMBEDDINGS)
REDIS VECTOR STORE (SEARCH)
FASTAPI + NEXT.JS 15 (APPS)
RAILWAY (DEPLOY)
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PRIVACY • TWO TIERS
MEETING CLASSIFICATION
ORDINARY
→ Direct processing without redaction
→ Open access, basic audit
→ Redis namespace: ordinary:*
SENSITIVE
→ PII redaction with Presidio before LLM
→ RBAC, full audit trail
→ Redis namespace: sensitive:*
SYSTEM STATUS: OPERATIONAL
SYSTEM ACTIVE • PRODUCTION
PLATFORM RUNNING. ACCESS THE LINKS ABOVE TO TEST.