An AI and NLP tool that lets safety officers ingest free-text reports, automatically classifying SIF potential, tagging life-saving rules, and viewing recurring patterns on a dashboard.
Oil India Limited · Software
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Decomposed from what the description asks for. Nothing added.
Report Ingestion
A module that takes free-text safety reports and observations as inputs.
SIF Classifier
An AI or NLP model that separates reports into SIF-potential and non-SIF-potential categories.
Rule Tagger
A component that automatically tags each report to the relevant IOGP Life-Saving Rule.
Analytics Dashboard
An interactive interface that ranks sites and activities by precursor density and shows recurring patterns.
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 tool can accurately classify SIF-potential reports, correctly map them to IOGP Life-Saving Rules, and display site rankings and precursor patterns on an interactive dashboard.
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.
Sample dataset format or schema for the safety reports?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Specific thresholds or criteria for defining SIF-potential?
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 report ingestion. How would you build that?
Decoded from SIH26165 itself — A module that takes free-text safety reports and observations as inputs. The brief asks for it by name.
Each one is quoted from a gap in the brief, not a guess about your team.
Needs data you may not get
The problem requires ingesting OIL's specific UA/UC observations, near-miss, and incident reports, which are proprietary and not provided to students.
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.
The brief asks for sif classifier. How would you build that?
Decoded from SIH26165 itself — An AI or NLP model that separates reports into SIF-potential and non-SIF-potential categories. The brief asks for it by name.
The brief asks for rule tagger. How would you build that?
Decoded from SIH26165 itself — A component that automatically tags each report to the relevant IOGP Life-Saving Rule. The brief asks for it by name.
The brief asks for analytics dashboard. How would you build that?
Decoded from SIH26165 itself — An interactive interface that ranks sites and activities by precursor density and shows recurring patterns. 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 tool can accurately classify SIF-potential reports, correctly map them to IOGP Life-Saving Rules, and display site rankings and precursor patterns on an interactive dashboard.
This is the evaluator read for your problem statement, decoded from the brief's own wording.