Challenge Area:
Infrastructure maintenance in developing cities.

Problem Statement:
Aging urban infrastructure (e.g., bridges, roads) is prone to failure due to inadequate monitoring.

Solution Concept:
Implement a DSAI system that uses drone imagery and deep learning to detect structural defects and predict maintenance needs.

Expected Impact:
Reduce infrastructure failures by 20% in 5 cities.

Next Steps:
Train image recognition models, integrate with drone systems, and collaborate with municipal authorities.

Challenge Area:
Infrastructure Maintenance

Problem Statement:
Aging infrastructure, like bridges, risks failure due to delayed maintenance, endangering lives.

Solution Concept:
Build an AI system for predictive maintenance using sensor data and CNNs to detect structural anomalies. The PoC includes data quality checks for sensor drift and modular code for real-time processing.

Expected Impact:
Reduces infrastructure failures by 50%, saving $1 billion in repairs.

Next Steps:
Integrate drone imagery, optimize for edge devices, and develop maintenance dashboards.