Many TB cases go undiagnosed and unreported, creating a gap between estimated infections and known cases. Identifying high-risk areas is crucial for effective intervention.
Our Vulnerability Mapping tool uses AI to predict and visualize TB-vulnerable regions, empowering healthcare authorities to direct screening and resources where they’re needed most.
The model analyzes diverse data (Ni-kshay records, geospatial data, health surveys) to generate vulnerability scores from village to subdistrict levels.
Real-World Impact
Deployed in 138 districts across UP, Assam, Haryana, MP, Mizoram.