A desktop or web platform for geospatial analysts to search satellite imagery archives using text or sample images, detect land changes over time, and review filtered results offline.
Ministry of defence (MoD) · Indian Army (DGIS) · Software
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Decomposed from what the description asks for. Nothing added.
Semantic Vector Search Engine
Builds vector embeddings for satellite imagery tiles to enable natural language and image-to-image search with spatial and metadata filters.
Multi-Temporal Change Detector
Analyzes imagery over time to identify, classify, and timestamp specific changes like construction, clearance, or water variation.
False Alarm Filtering Engine
Applies quality masks and normalization to suppress false change detection caused by clouds, shadows, seasonal differences, and registration errors.
Site Clustering and Discovery
Groups visually and semantically similar geospatial sites across wider regions using embedding-based unsupervised clustering.
Analyst Review and Provenance Queue
Both columns are read off the brief's own wording. Nothing here is inferred from the ministry's name.
Evaluators will test complete on-premises execution with network access disabled after local staging. They will assess high precision over recall by evaluating how well confounding factors like clouds and shadows are suppressed during change analysis. Submissions must also demonstrate incremental indexing of GeoTIFF or COG files and full audit provenance for analyst decisions.
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 numerical accuracy or precision targets for retrieval and change detection?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Hardware specifications or GPU memory limits for the offline evaluation environment?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
The exact schema or metadata structure expected for exported provenance records?
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.
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.
Displays a ranked review queue with before-and-after evidence, allows analysts to confirm or reject findings, and exports audit trails.
Offline Ingestion and Indexing Pipeline
Ingests GeoTIFF imagery incrementally and maintains geospatial indexes entirely on-premises without external network calls.
The brief asks for semantic vector search engine. How would you build that?
Decoded from SIH26227 itself — Builds vector embeddings for satellite imagery tiles to enable natural language and image-to-image search with spatial and metadata filters. The brief asks for it by name.
The brief asks for multi-temporal change detector. How would you build that?
Decoded from SIH26227 itself — Analyzes imagery over time to identify, classify, and timestamp specific changes like construction, clearance, or water variation. The brief asks for it by name.
The brief asks for false alarm filtering engine. How would you build that?
Decoded from SIH26227 itself — Applies quality masks and normalization to suppress false change detection caused by clouds, shadows, seasonal differences, and registration errors. The brief asks for it by name.
The brief asks for site clustering and discovery. How would you build that?
Decoded from SIH26227 itself — Groups visually and semantically similar geospatial sites across wider regions using embedding-based unsupervised clustering. The brief asks for it by name.
The brief asks for analyst review and provenance queue. How would you build that?
Decoded from SIH26227 itself — Displays a ranked review queue with before-and-after evidence, allows analysts to confirm or reject findings, and exports audit trails. The brief asks for it by name.
The brief asks for offline ingestion and indexing pipeline. How would you build that?
Decoded from SIH26227 itself — Ingests GeoTIFF imagery incrementally and maintains geospatial indexes entirely on-premises without external network calls. 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: evaluators will test complete on-premises execution with network access disabled after local staging.
This is the evaluator read for your problem statement, decoded from the brief's own wording.
Show me this working: they will assess high precision over recall by evaluating how well confounding factors like clouds and shadows are suppressed during change analysis.
This is the evaluator read for your problem statement, decoded from the brief's own wording.