Bharat in Betastartup field guide
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No. 378Problem statementDefence and aerospace

Artificial intelligence based radio frequency spectrum management.

Source

Source summary

The source proposes AI-based radio-spectrum management in a congested tactical environment where moving units enter and leave an area, increasing interference or jamming problems for equipment. The visible description ends mid-sentence and does not provide a complete solution specification. This is an abridged military communications-management record.

No. 173Problem statementDefence and aerospace

AI-ML Modelling - AI-ML models for space applications

Develop AI/ML models for large space datasets. The source discusses Earth-observation and spacecraft telemetry analysis, as well as support for large satellite constellations, including relative positioning, communications and end-of-life management.

No. 360Problem statementDefence and aerospace

Data analytics for air trajectory

Develop a machine-learning algorithm using historical aircraft trajectories to identify anomalous movements and departures from authorised routes. The source provides that mechanism and data basis but no further operational or performance specification.

No. 366Problem statementDefence and aerospace

Predictive preventive and prescriptive machine monitoring

Develop a modular platform monitoring ship machinery in real time through parameters such as temperature, pressure and sound. AI should support predictive and preventive maintenance, while the system also gives ship staff proposed corrective actions when faults arise. The prescriptive component is part of the original request, not later commentary.