A swarm of drones is deployed to ensure 100% coverage of water bodies and drastically cuts down the exposure of workers to hazardous chemicals and activities.

Guided and validated by data, each day’s work output is now quantified and improved upon.

IoT sensors and GIS are leveraged to provide real-time tracking and monitoring of fumigation activities.

Chemical sensors are attached to fumigation devices used in the region to precisely identify the fumigated areas and detect the distribution and spread of the chemicals.

This data-centric approach will help in effective targeting and resource planning.

Species Identification using IoT and AI-enabled process to determine the species-wise composition like Anopheles, Aegypti or Culex, in a given locality.

Life cycle management to ensure stage-wise tackling of mosquitoes - scientifically done to reduce mosquito propagation and thus mitigate disease risk.

Gender identification is essential to understand the gender ratios and their prevalence times to effectively curb the menace. Female mosquitoes, be it Anopheles or Aegypti, cause Malaria, Dengue, and other related diseases.

Disease outbreak assessment and mapping cases by geotagging each data point to delve deeper into causes and thus device better mosquito monitoring and control plans.

Disease risk analytics based on collected data from the module help derive a risk heat map to better aid resource distribution.

Regional risk assessment adhering to principles of good governance, locality-wise regional assessment of mosquito-borne disease risk prepared for citizens to be aware and take necessary precautions.

Awareness & involvement by promoting data collection and feedback from citizens regarding the effectiveness of implemented protocols and integrating this data with IoT data to arrive at optimum monitoring plans.

Information Dissemination: Local Alerts

Education Campaigns Enablement

Communications: Dissemination and Collection