Problem Statement: Low aircraft availability due to fragmented and largely reactive maintenance practices across the air fleet. Maintenance data from aircraft health-monitoring systems, technical records, spares and maintenance agencies is not adequately integrated, resulting in delayed fault prediction, avoidable aircraft downtime and sub-optimal utilisation of critical assets. Technology Opportunity: AI/ML-based predictive maintenance,loT/aircraft health monitoring, digital twins and an integrated maintenance analytics platform.
SIH26249SoftwareTransportation & Logistics
Air Power - Predictive Maintenance & Fleet Availability
Ministry of Defence (MoD)
- Ideas submitted
- 1 / 500
- Deadline
- 5 October 2026
- Category
- Software
- Theme
- Transportation & Logistics
Looks like it needs
AI / MLData / Analytics
How contested this one is
as of 1 Oct1idea submitted+1 in 2 days
That puts it 241st of the 245 statements that have any ideas at all, out of 258 on the board. It is moving, so the field here is already forming.
Added mid-season. This statement first appeared on 1 October, after the original list went out. Teams who shortlisted early have most likely never seen it.
See what the whole field is picking →Counted from the official portal twice a day. The portal itself only shows today.
What a jury will ask about this
01“Who actually faces this problem today?”
What works: Naming one real person and what they do instead right now. Reading the statement back is not an answer, they already read it.
02“This already exists. Why yours?”
What works: That existing tools are consumer products. Yours is built for the ministry, works offline, in the local language, on official data.
03“Then why has nobody solved it yet?”
What works: The real blocker. No connectivity, no incentive, nobody owns the data. You only know this if you read the ministry's own reports.
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