Design and development of virtual assistant with AI/ML and AR tools, deployed onboard ships/submarines to support maintenance crew for Radar System

Design and development of a Virtual assistant with AI/ML and AR tools, deployed onboard ships/ submarines to support the maintenance crew for Radar system. The AI and AR based virtual assistant (A2VA) would require to offer the following: -
      1.    Enhance self-reliance and self-sustenance at sea.
      2.    Enhance safety of men and materiel
      3.    Enhance operational efficiency by quick resolution of defects.
      4.    Enhance capabilities and upgrade skills of maintainers.
      5.    Diagnostic carried out onboard can be recorded and uploaded to QEM for intervention in case of non-resolution.
      6.    Automatic logging of defects and maintenance routines.
      7.    Include audio visual aids for training and diagnostic thereby precluding the requirement of QEM reps/non-Naval personnel  onboard ships/submarines. 
      8.    Post successful proving of prototypes for one Radar equipment, similar A2V as would be developed for other mission critical  equipment.
The solution is envisaged to be deployed onboard ships in the IN and assist the onboard maintainer in repair and maintenance of radar system onboard the ship.