An AI-powered web platform that analyses material data from different CPSEs to find duplicate items, generate a common national material code, and map it back to existing codes.
Ministry of Petroleum & Natural Gas · Chennai Petroleum Corporation Limited(CPCL) · Software
Signing in saves it for your whole team — everyone on your invite link sees the same two entries. Anything you shortlisted while signed out comes with you.
Decomposed from what the description asks for. Nothing added.
AI Material Matching Engine
Uses NLP and machine learning to find identical and equivalent materials across different descriptions.
Standardization and Classification
Automatically standardizes material descriptions, technical attributes, and categories.
Common Code Generator
Generates a common national material code while mapping it to the CPSE's original code.
Validation and Approval Workflow
Provides an interface for users to review, validate, and approve the AI-suggested mappings.
Analytics Dashboard
Displays duplicate detection results, material master analytics, and audit trails.
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 AI accurately identifies near-duplicates across different terminology, provides a clear approval workflow for users, and maintains mapping between the new national code and legacy CPSE codes.
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 material master datasets from CPSEs for training?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Specific taxonomy or standard format required for the Common National Material Code?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Details of the target SAP or ERP system APIs for integration?
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.
Needs data you may not get
The system requires historical procurement data and material master records from multiple CPSEs to effectively demonstrate cross-organization matching.
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.
ERP Integration Module
Supports data migration and integration with existing SAP or ERP systems.
The brief asks for ai material matching engine. How would you build that?
Decoded from SIH26099 itself — Uses NLP and machine learning to find identical and equivalent materials across different descriptions. The brief asks for it by name.
The brief asks for standardization and classification. How would you build that?
Decoded from SIH26099 itself — Automatically standardizes material descriptions, technical attributes, and categories. The brief asks for it by name.
The brief asks for common code generator. How would you build that?
Decoded from SIH26099 itself — Generates a common national material code while mapping it to the CPSE's original code. The brief asks for it by name.
The brief asks for validation and approval workflow. How would you build that?
Decoded from SIH26099 itself — Provides an interface for users to review, validate, and approve the AI-suggested mappings. The brief asks for it by name.
The brief asks for analytics dashboard. How would you build that?
Decoded from SIH26099 itself — Displays duplicate detection results, material master analytics, and audit trails. The brief asks for it by name.
The brief asks for erp integration module. How would you build that?
Decoded from SIH26099 itself — Supports data migration and integration with existing SAP or ERP systems. 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: the jury will check if the AI accurately identifies near-duplicates across different terminology, provides a clear approval workflow for users, and maintains mapping between the new national code and legacy CPSE codes.
This is the evaluator read for your problem statement, decoded from the brief's own wording.