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SSwapnil Sahoo
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Teaching

  • 1-Year MBA
  • 2-Year MBA
  • Karma Yoga
    • For B-Schools
    • For India · Mehalchauri
  • Business Simulation
  • AI Mini Hackathon
    • Side Quests · AI Viva Bot
  • The Entrepreneurship Shelf
  • Placement Assistance
    • Rigorous Industry Analysis
    • Case Study Preparation
    • Case Frameworks
    • Case Examples
    • Guesstimates
    • General Management Interviews
    • Product Management Interview Prep
    • Strategy & Entrepreneurship Interview Prep
    • Cracking Consulting Interviews
  • Executive MDPs

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  • Gallery
  • Spirituality
    • Bhagavad Gita · Complete Text
    • Ramcharitmanas · Bālakāṇḍa
    • Authentic Hanuman Chalisa
    • Authentic Vishnu Sahasranama
    • Authentic Lalita Sahasranama
    • Authentic Shiva Tandava Stotram
    • Authentic Chandogya Upanishad
  • Holistic Wellbeing
    • Mental Wellbeing
  • Comics & Fiction
    • Spider-Man
    • Superman
    • He-Man
  • Mythology
    • Mahabharata (Original)
    • Ramayana (Original)
    • Immortals · 17 profiles
  • Contact

Dr. Swapnil Sahoo

Assistant Professor · Strategy · GLIM Gurgaon

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© 2026 Dr. Swapnil Sahoo. Except where a source or licence states otherwise.

Research, teaching and field notes.

Back to AI Mini Hackathon

Side Quests

Prototypes I build for the same reason I ask students to build.

Running the AI Mini Hackathon left me with the same itch I hand to students every term: stop talking about what GenAI could do, and ship something that has to work when a real person opens it. This is where those personal, off-syllabus builds live — each one a live beta, not a finished product, each one needing people willing to try to break it.

Live beta · open for testing

AI build · grew out of the AI Mini Hackathon

AI Viva Bot

A Socratic oral-exam simulator that questions students on their own claims.

Most oral exams reward confident delivery, not understanding. AI Viva Bot pushes past that: a student uploads the actual assignment or report, and the bot questions them the way a sharp examiner would — grounding each question in a claim they specifically made, not a generic bank. Faculty set the examiner's persona, the difficulty and the grading rubric before the room opens.

  • Faculty pick the examiner persona, difficulty and grading rubric before the room opens.
  • Every question is generated from a specific claim in the student's own submission, not a static bank.
  • Students can answer by text, audio or video; light in-browser proctoring (gaze and window-focus checks) keeps the session honest.
  • Runs on the Gemini API with session data kept in the browser, not a server database.

How to actually help

01

Run a full mock exam

As faculty or student, go end to end: set up or receive an oral exam, answer the follow-up questions, see how the grading reads.

02

Try to break it

Upload a messy file, give a deliberately weak or evasive answer, switch tabs mid-question — tell me what the bot does with the edge case.

03

Judge the questions

Were they actually anchored to what you wrote, or did they feel generic? That gap is the thing most worth fixing next.

Try the beta (opens in a new tab)Send feedback my way

Beta software: expect rough edges, and please don't submit anything sensitive or confidential while it's at this stage.