11. Build an AI Resume & Interview Platform

flowchart TD
    subgraph FRONT["Frontend"]
        RESUME_UI["Resume Upload\n+ Analysis"]
        INTERVIEW_UI["Interview Room\nWebRTC Voice"]
        DASHBOARD["Progress Dashboard"]
    end
    subgraph ANALYSIS["Analysis Engine"]
        PARSE["Resume Parser\nPDF → Structured"]
        SKILL_MAP["Skill Mapper\nJob market matching"]
        ATS["ATS Scorer\nCompatibility score"]
    end
    subgraph INTERVIEW["Interview Engine"]
        Q_GEN["Question Generator\nRole-specific"]
        VOICE["Voice Interface\nSTT + TTS"]
        EVAL["Performance Evaluator\nReal-time scoring"]
        FEEDBACK["Feedback Generator\nDetailed report"]
    end
    subgraph DATA["Storage"]
        PG["PostgreSQL"]
        S3["Resume PDFs"]
        VDB["pgvector\nEmbeddings"]
    end

    RESUME_UI --> PARSE
    PARSE --> SKILL_MAP
    SKILL_MAP --> ATS
    INTERVIEW_UI --> Q_GEN
    INTERVIEW_UI --> VOICE
    VOICE --> EVAL
    EVAL --> FEEDBACK

    style FRONT fill:#3b82f6,color:#fff
    style ANALYSIS fill:#f59e0b,color:#fff
    style INTERVIEW fill:#22c55e,color:#fff

flowchart LR
    PDF["Resume PDF"] --> PARSE["Parse\nExtract sections"]
    PARSE --> STRUCT["Structured Data\nSkills, experience, education"]
    STRUCT --> MATCH["Match to Job\nRequired vs actual skills"]
    MATCH --> SCORE["ATS Score\nCompatibility %"]
    SCORE --> GAPS["Gap Analysis\nMissing skills"]
    GAPS --> RECOMMEND["Recommendations\nImprovement suggestions"]

    style PARSE fill:#3b82f6,color:#fff
    style SCORE fill:#f59e0b,color:#fff
    style RECOMMEND fill:#22c55e,color:#fff

sequenceDiagram
    participant C as Candidate
    participant AI as AI Interviewer
    participant Eval as Evaluator

    C->>AI: Start interview
    AI->>AI: Generate questions based on resume + role
    AI->>C: "Tell me about your experience with React"
    C->>AI: Response (voice/text)
    AI->>Eval: Evaluate response
    Eval->>Eval: Score: technical accuracy, structure, clarity

    Note over AI: Dynamic follow-up based on quality

    AI->>C: "Can you describe a challenging project?"
    C->>AI: Response
    AI->>Eval: Evaluate
    AI->>C: "How would you design a..."

    Note over AI: 15-20 questions total

    C->>AI: End interview
    AI->>C: Generate comprehensive feedback report
    AI->>C: Scores per category + improvement areas