An AI-powered web platform that extracts text from handwritten land records, classifies the data, and provides a verification interface for administrators.
Ministry of Rural Development · Dept of land resources (DoLR) · Software
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Decomposed from what the description asks for. Nothing added.
Document Upload Interface
A user-friendly web portal for uploading scanned land records, maps, and PDFs.
OCR and Text Extraction
An AI module utilizing OCR and computer vision to read printed and handwritten text in multiple Indian languages.
Data Classification Engine
A module that maps extracted text into predefined fields like survey numbers and landowner details.
Validation and Confidence Scoring
A system that checks data using business rules, assigns confidence scores, and flags uncertain fields.
Human Verification Workflow
An interface that allows operators to review and correct low-confidence records.
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 system handles handwritten text in multiple Indian languages, provides confidence scores for extracted data, and includes a human-assisted verification workflow for low-confidence records.
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 Indian languages must be supported?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
What exact accuracy percentage counts as success?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
What specific database schemas or APIs are used by existing LRMS systems?
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.
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 text demands high data accuracy and improved speed, but never states a specific numerical target or percentage for success.
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.
Pick what you are about to do and copy the prompt. It carries the organisers' own wording, the constraints they never spell out, and an instruction not to invent requirements they never set.
Who has this problem, what already exists, and what you would have to find out.
Admin Dashboard and Reports
An interactive dashboard showing processing statistics, error rates, and digitization progress.
The brief asks for document upload interface. How would you build that?
Decoded from SIH26018 itself — A user-friendly web portal for uploading scanned land records, maps, and PDFs. The brief asks for it by name.
The brief asks for ocr and text extraction. How would you build that?
Decoded from SIH26018 itself — An AI module utilizing OCR and computer vision to read printed and handwritten text in multiple Indian languages. The brief asks for it by name.
The brief asks for data classification engine. How would you build that?
Decoded from SIH26018 itself — A module that maps extracted text into predefined fields like survey numbers and landowner details. The brief asks for it by name.
The brief asks for validation and confidence scoring. How would you build that?
Decoded from SIH26018 itself — A system that checks data using business rules, assigns confidence scores, and flags uncertain fields. The brief asks for it by name.
The brief asks for human verification workflow. How would you build that?
Decoded from SIH26018 itself — An interface that allows operators to review and correct low-confidence records. The brief asks for it by name.
The brief asks for admin dashboard and reports. How would you build that?
Decoded from SIH26018 itself — An interactive dashboard showing processing statistics, error rates, and digitization progress. 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 jury will check if the system handles handwritten text in multiple Indian languages, provides confidence scores for extracted data, and includes a human-assisted verification workflow for low-confidence records.
This is the evaluator read for your problem statement, decoded from the brief's own wording.