A web platform that lets researchers and policymakers access land data, run simulations, and collaborate on land governance policies.
Ministry of Rural Development · Dept of land resources (DoLR) · Software
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Decomposed from what the description asks for. Nothing added.
Centralized Digital Repository
Store and organize land governance research, policy papers, legal documents, and case studies.
AI Search and Recommendation
Help users discover relevant research and policy resources using artificial intelligence.
Collaborative Workspaces
Provide shared spaces for researchers, policymakers, and institutions to work together.
GIS and Data Integration
Display satellite imagery, remote sensing, land records, and geospatial data on interactive maps.
Analytics and Simulation
Evaluate policy effectiveness, run predictions, and simulate outcomes of proposed reforms.
Dashboards and Role Access
Show interactive indicators and secure user access based on different official roles.
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 integrates geospatial data, provides AI-powered search and policy simulation tools, and maintains secure role-based access for different types of users.
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.
Which specific government platforms and GIS systems the APIs need to integrate with?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
What exact datasets will be provided for training the AI and running simulations?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
What specific programming languages or technology stack must be used?
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 centralized digital repository. How would you build that?
Decoded from SIH26019 itself: Store and organize land governance research, policy papers, legal documents, and case studies. The brief asks for it by name.
The brief asks for ai search and recommendation. How would you build that?
Decoded from SIH26019 itself: Help users discover relevant research and policy resources using artificial intelligence. The brief asks for it by name.
The brief asks for collaborative workspaces. How would you build that?
Decoded from SIH26019 itself: Provide shared spaces for researchers, policymakers, and institutions to work together. The brief asks for it by name.
The brief asks for gis and data integration. How would you build that?
Decoded from SIH26019 itself: Display satellite imagery, remote sensing, land records, and geospatial data on interactive maps. The brief asks for it by name.
The brief asks for analytics and simulation. How would you build that?
Decoded from SIH26019 itself: Evaluate policy effectiveness, run predictions, and simulate outcomes of proposed reforms. The brief asks for it by name.
The brief asks for dashboards and role access. How would you build that?
Decoded from SIH26019 itself: Show interactive indicators and secure user access based on different official roles. 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 integrates geospatial data, provides AI-powered search and policy simulation tools, and maintains secure role-based access for different types of users.
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 dataset provided
The description depends on real data, and the organisers have not attached a dataset link.
No measurable target
The description lists many features like AI search and policy simulation but never states a measurable performance or accuracy target for them.
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.