Applied AI

AI that starts with real questions.

Exploring how machine learning and computer vision can help people understand their surroundings and investigate practical problems.

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AI-DRISHTI

A road-safety concept combining vehicle and road-scene detection with an emergency-response workflow.

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Computer vision

Experiments with object detection, model evaluation, inference pipelines, and practical constraints.

Exploration area
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Responsible prototyping

Testing should include false positives, missed detections, privacy implications, and real-world limitations.

Principles

Principles for applied AI

  • Distinguish a demo from a dependable production system.
  • Do not claim emergency notifications or real-world deployment unless implemented and tested.
  • Evaluate accuracy and failure cases, not just attractive demo results.
  • Protect identifiable people and vehicle information when collecting or sharing data.