A web platform that assesses statistical officials, identifies skill gaps, recommends iGOT Karmayogi courses, and generates quizzes from uploaded learning materials for capacity building.
MoSPI · Data Informatics & Innovation Division (DIID) · Software
Signing in saves it for your whole team, so everyone on your invite link sees the same two entries. Anything you shortlisted while signed out comes with you.
Decomposed from what the description asks for. Nothing added.
Competency Profile Engine
Automatically creates an official competency profile based on designation, qualifications, and past training.
Skill-Gap Analyzer
Evaluates existing competencies against frameworks for official statistics to find knowledge gaps.
iGOT Integration Module
Connects via APIs to retrieve course catalogues and recommend learning pathways from the iGOT Karmayogi repository.
AI Assessment Generator
Uses LLMs to generate MCQs and quizzes from uploaded documents, presentations, and videos with instant feedback.
Employee and Admin Dashboards
Provides interfaces to view learning progress, skill gaps, course recommendations, and organization-wide analytics.
Both columns are read off the brief's own wording. Nothing here is inferred from the ministry's name.
The jury will check if the platform successfully integrates with the iGOT Karmayogi ecosystem via APIs, accurately maps skills across statistical and technical domains, and reliably generates valid multiple-choice questions from uploaded training documents.
A jury can still ask about these. Decide them deliberately rather than by accident.
Generated from the brief's own wording and the competition's published rules, never from a guess about what this ministry prefers.
Exact API documentation and access credentials for the iGOT Karmayogi ecosystem?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Predefined competency frameworks and data structures for official statistics?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Has any part of this been shown at a previous event, hackathon or college project?
The guidelines are explicit: your solution must not have appeared in any previous event or programme, of any sort. A recycled project is what a team under time pressure reaches for.
The brief asks for competency profile engine. How would you build that?
Decoded from SIH26101 itself: Automatically creates an official competency profile based on designation, qualifications, and past training. The brief asks for it by name.
The brief asks for skill-gap analyzer. How would you build that?
Decoded from SIH26101 itself: Evaluates existing competencies against frameworks for official statistics to find knowledge gaps. The brief asks for it by name.
The brief asks for igot integration module. How would you build that?
Decoded from SIH26101 itself: Connects via APIs to retrieve course catalogues and recommend learning pathways from the iGOT Karmayogi repository. The brief asks for it by name.
The brief asks for ai assessment generator. How would you build that?
Decoded from SIH26101 itself: Uses LLMs to generate MCQs and quizzes from uploaded documents, presentations, and videos with instant feedback. The brief asks for it by name.
The brief asks for employee and admin dashboards. How would you build that?
Decoded from SIH26101 itself: Provides interfaces to view learning progress, skill gaps, course recommendations, and organization-wide analytics. The brief asks for it by name.
Why not use what already exists? Name the closest thing to this that is already running.
A team that has not named the alternative themselves is answering this for the first time in the room.
Which single thing will you demonstrate end to end, start to finish, with nothing skipped?
Ours, not a rule: a narrow thing that fully works survives questioning better than a broad thing that half works. If nobody on the team can name it, that is the finding.
Show me this working: the jury will check if the platform successfully integrates with the iGOT Karmayogi ecosystem via APIs, accurately maps skills across statistical and technical domains, and reliably generates valid multiple-choice questions from uploaded training documents.
This is the evaluator read for your problem statement, decoded from the brief's own wording.
Each one is quoted from a gap in the brief, not a guess about your team.
No measurable target
The description requires accuracy in assessment and recommendations but never states a numerical success percentage or performance threshold.
What the organisers attached, and what the brief assumes you can get.
Same organisation, same year. Reading two of theirs tells you more about what they care about than reading one.