Training and Interview Workflow

Training & Interview Workflow

ASHU Mentor AI Studio supports both interview simulation and adaptive training.

Interview Workflow

sequenceDiagram
    participant User
    participant UI as Streamlit UI
    participant LLM as Local LLM
    participant Eval as Evaluation Engine
    participant Report as Report Generator

    User->>UI: Upload resume / enter JD / choose round
    UI->>LLM: Generate role-specific questions
    LLM-->>UI: Questions and expected concepts
    User->>UI: Answer questions / coding response
    UI->>Eval: Evaluate content, clarity, correctness
    Eval-->>UI: Score, feedback, improvement plan
    UI->>Report: Store responses and evidence
    Report-->>User: Download candidate report

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Adaptive Training Workflow

1. Candidate profile and weak areas are identified.
2. The system creates targeted learning segments.
3. Each segment contains:
   • Concept explanation
   • Why interviewers ask this
   • Real project relevance
   • Visual explanation block
   • Checkpoint question
4. The training segment can be converted into:
   • Browser demo speech
   • XTTS generated audio
   • Digital-human rendered lecture video
   • Downloadable MP4

Training Segment Structure

Segment title
Concept clarity
Definition
Why interviewers ask this
Real project relevance
Visual explanation
Checkpoint question
Generated lecture audio/video

Example Segment

Topic: REST API security and JWT authentication

The segment explains REST API security, JWT token structure, authentication/authorization flow, bearer-token usage, token expiry, refresh tokens, and real project security relevance.