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Smart India Hackathon

2026

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Sparsh Sharma

9/9/2026

Problem Statement ID: SIH26101

Problem Statement Title: AI-Enabled Skill Intelligence and Learning Platform for India's Official Statistical System.

Theme: Smart Education

PS Category: Software�Team Name: Byte Force

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Idea Title

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Proposed solution

  • Auto-builds each official’s profile from role, department, and history.
  • Runs AI skill-gap analysis across four domains for focused upskilling.
  • Recommends learning from iGOT Karmayogi and NSSTA & TPAC-approved programmes.
  • Creates quick quizzes from uploaded training material.

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How it addresses the need

  • Instead of scrolling through hundreds of courses, the system tells each officer exactly what to learn next.
  • Testing and learning aren't separate anymore — taking a quiz updates what gets recommended to you.

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Innovation and uniqueness

    • Quiz results update the profile and refresh recommendations.
    • Maps skills across statistical, technical, governance, and behavioural domains.

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Technical Approach

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Technical stack :

  • Next.js (React) UI and Node.js API routes, on Vercel for fast deployment.
  • Supabase Postgres handles data and authentication.
  • Row-Level Security keeps employee and admin access separate.

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AI layer

  • Groq runs open LLMs at high speed for fast API calls.

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  • Gemini and Mistral API for fallback.

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Workflow loop

  • Employee profile sets role-based competency baseline.
  • Skill-gap analysis suggests iGOT Karmayogi courses and NSSTA's TPAC-approved paths.
  • LLM turns uploads into MCQs and short tests.
  • Quiz results update skill profile and next steps.

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Feasibility & Risks

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Mitigation

strategies

  • Use multi-provider LLM fallback: Groq main, Gemini and mistral backup.
  • Pre-cache key responses for demo reliability.
  • Roll out in phases with expert checks.

Key challenges

  • Free-tier LLM rate limits may slow demo.
  • Prototype may not access government APIs.
  • Competency framework needs expert review.

Feasibility

  • Uses free-tier stack: Next.js, Supabase, Groq/Gemini.
  • We already skilled with these tools.
  • iGOT is a swappable, mocked API.

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Impact & Benefits

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Administrative outcomes

  • Gives coordinators skill-gap visibility for better planning.

Economic outcomes

  • Cuts wasted training and boosts ROI on platforms.

Social outcomes

  • Creates a skilled, future-ready statistical workforce.

Who benefits

  • Provides tailored learning for ISS, SSS, and state officials.
  • Replaces manual iGOT search with targeted suggestions.

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References

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Hackathon and domain info

  • SIH26101 problem: sih.gov.in.
  • NSSTA & TPAC: mospi.gov.in.

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Learning ecosystem

  • iGOT Karmayogi: igotkarmayogi.gov.in.

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Tech docs

  • Groq API: groq.com.
  • Gemini API: ai.google.dev.
  • Supabase: supabase.com.
  • Mistral API: mistral.ai.

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