A web platform that analyzes job market data to recommend course updates and district training plans so training programs match actual employer needs.
Government Of Maharashtra · Maharashtra State Innovation Society, Department of Skills, Employment, Entrepreneurship and Innovation · Software
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Decomposed from what the description asks for. Nothing added.
Data Ingestion Engine
Collects job posting signals, sector growth data, and placement outcomes into a central database.
Skill Gap Analyzer
Compares current course offerings and skill sets against detected industry demand by location and proficiency.
Curriculum Recommendation Module
Generates suggestions for updating course content and flags obsolete or oversupplied training programs.
District Planning Tool
Creates district-level training plans and resource allocations based on analyzed regional demand.
Employer Validation Portal
Allows employers to review and validate recommendations to ensure alignment with real workplace expectations.
Both columns are read off the brief's own wording. Nothing here is inferred from the ministry's name.
The evaluators will check if the platform successfully combines multiple data sources to identify skill gaps and generate actionable district-level training plans and curriculum recommendations.
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.
Specific data formats or APIs for job postings?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Exact algorithms or metrics for calculating skill gaps?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Target user interface requirements for district officials?
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 data ingestion engine. How would you build that?
Decoded from SIH26134 itself: Collects job posting signals, sector growth data, and placement outcomes into a central database. The brief asks for it by name.
The brief asks for skill gap analyzer. How would you build that?
Decoded from SIH26134 itself: Compares current course offerings and skill sets against detected industry demand by location and proficiency. The brief asks for it by name.
The brief asks for curriculum recommendation module. How would you build that?
Decoded from SIH26134 itself: Generates suggestions for updating course content and flags obsolete or oversupplied training programs. The brief asks for it by name.
The brief asks for district planning tool. How would you build that?
Decoded from SIH26134 itself: Creates district-level training plans and resource allocations based on analyzed regional demand. The brief asks for it by name.
The brief asks for employer validation portal. How would you build that?
Decoded from SIH26134 itself: Allows employers to review and validate recommendations to ensure alignment with real workplace expectations. The brief asks for it by name.
Where does your data come from: a published source, one you collect, or one you generate?
No dataset is attached to this problem statement, so sourcing it is part of the work and nobody told you that.
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 evaluators will check if the platform successfully combines multiple data sources to identify skill gaps and generate actionable district-level training plans and curriculum recommendations.
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 expects stronger placement rates and reduced mismatch, but does not provide any numerical success thresholds.
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.