| name | idea-submission |
| description | Generate the SIH 2026 Idea Submission document for SIH26101. Covers problem understanding, proposed solution, architecture, feasibility, and impact — formatted for the SIH portal submission. |
Idea Submission — SIH 2026 (Deadline: 20 Sept 2026)
When to Use
When preparing the idea submission document for the SIH portal. Can be done in parallel with building.
What the SIH Portal Requires
The idea submission typically needs:
- Problem Understanding — Restate the problem in your own words, show domain knowledge
- Proposed Solution — What you're building, how it solves the problem
- Technical Architecture — Stack, data flow, system design
- Feasibility & Innovation — Why this approach works, what's novel
- Impact & Scalability — Who benefits, how it scales beyond MoSPI
- Team Details — Members, skills, mentor
Section 1: Problem Understanding
Write this to show judges you understand MoSPI's actual problem:
Key points to hit:
- India's Official Statistical System employs thousands of officers across CSO, NSSO, and state directorates
- NSSTA (National Statistical Systems Training Academy) conducts training but lacks AI-powered tools to identify WHO needs WHAT training
- The Capacity Building Commission requires Annual Capacity Building Plans (ACBP) — but there's no automated way to assess competency gaps at scale
- iGOT Karmayogi has 1.7 crore+ users and thousands of courses, but MoSPI officials have no personalized pathway through this ecosystem
- Training materials (manuals, guidelines, SQAF documents) exist but there's no way to auto-generate assessments from them
Domain terms to use: FRAC framework, Karmayogi Competency Model (KCM), SQAF, NSSTA, Capacity Development Division, Mission Karmayogi, Official Statistical System
Section 2: Proposed Solution — StatSarthi
Structure around the 3 pillars:
Pillar 1: AI Competency Gap Finder
- Official selects role → takes AI diagnostic assessment → gets radar chart showing gaps
- Uses FRAC-mapped competency requirements per role
- 4 competency domains (Statistical, Technical, Digital Governance, Behavioural) with 28+ areas specific to MoSPI
Pillar 2: iGOT Pathway Recommender
- Maps gaps to curated iGOT Karmayogi courses
- Prioritized learning plan (biggest gaps first)
- Progress tracking with milestone checkpoints
- Deep-links to iGOT portal for seamless ecosystem integration
Pillar 3: AI Quiz/MCQ Generator
- Upload any training PDF → AI generates Bloom's Taxonomy-tagged MCQs
- Editable, exportable (PDF/CSV), assignable as assessments
- Feeds results back into competency gap model (continuous improvement loop)
Section 3: Technical Architecture
Stack:
- Frontend: React 18 + Vite + TypeScript + shadcn/ui
- Backend: Firebase (Firestore + Auth + Storage)
- AI: Google Gemini 2.5 Flash with structured JSON output
- Charts: Recharts (radar charts for gap visualization)
- PDF Processing: Base64 encoding → Gemini inline data grounding
Key technical differentiators:
- Gemini's structured output (JSON schema) ensures MCQs are always properly formatted
- PDF grounding means the AI reads the ACTUAL uploaded material, not generic knowledge
- Bloom's Taxonomy tagging ensures assessments test multiple cognitive levels
- Firestore enables real-time analytics queries (aggregate gaps by department, role, competency)
Section 4: Feasibility & Innovation
Feasibility:
- Built on proven stack (React + Firebase + Gemini) — team has shipped a production app (pptmaker.co.in) with similar architecture
- Core AI pipeline (PDF → Gemini → structured output) is already working in the existing codebase
- Can be deployed on Firebase Hosting or any cloud (Vercel, Railway, or government NIC infrastructure)
Innovation:
- First platform to combine FRAC competency mapping + AI assessment + iGOT integration for any ministry
- Bloom's Taxonomy-aware quiz generation — not just random MCQs, but cognitively structured assessments
- Continuous feedback loop: assessment results → updated gaps → refined recommendations
Section 5: Impact & Scalability
Immediate impact (MoSPI):
- NSSTA can identify training priorities across 10,000+ statistical officers
- Training coordinators save hours by auto-generating assessments from existing materials
- Officials get personalized learning paths instead of generic training mandates
Scalability:
- The competency framework is pluggable — swap MoSPI competencies for any ministry's FRAC data
- Works for all 27+ ministries on iGOT Karmayogi
- Can serve state/UT statistical directorates (Support for Statistical Strengthening scheme)
- Multi-language support possible via Gemini's multilingual capabilities
Section 6: Team Details
Fill in:
- Team Name: [YOUR TEAM NAME]
- College: [YOUR COLLEGE]
- Team Leader: Chandrakant Kelgire
- Mentor: [FACULTY MENTOR NAME]
- Members: [6 MEMBER NAMES + ROLES]
Submission Checklist
