As a pilot project based in a city slum, Spoorthi, a community-owned-and-managed spatial data system, attempts to explore how an urban poor community in Bengaluru can be part of an IT initiative that can serve their interests best. Using our digital platform, Spoorthi, community facilitators from the slum created a spatial database of the community's water, sanitation and health (WASH) infrastructure and their access to it.

As part of our multipronged strategy to fight malnutrition, CSTEP is working on a state-of-the-art computer vision project, SNEHA Vision, for image-based height detection, baby-length detection, BMI calculation, among others. The focus is on keeping the technique simple, so that officials at the grassroots level can detect the nutritional status of children with mobile phone images.

SNEHA Samanvay is a data-science project, which seeks to synchronise child and mother data across departments. A massive project, it will integrate the data of around 3 million children and 1.1 million women in Karnataka. To keep the data consistent in the future, we have created additional solutions such as the Family Survey App.  

Managing and treating malnutrition is an intensive task, requiring careful monitoring and record-keeping of a child's health progress. Severe malnutrition cases are referred to Nutrition Rehabilitation Centres (NRCs) in district or taluka hospitals. SNEHA NRC is a digital platform which tracks children who are discharged from these centres. SNEHA NRC is currently running in all 30 district hospitals in Karnataka.

A state-of-the-art digital platform, SNEHA provides a comprehensive solution-detection to cure-for malnutrition management. This concept solution is being developed in partnership with the Government of Karnataka. Employing the best design principles, our platform uses mobile technology along with a robust process and data integration at the back end, allowing for a consistent view of child and women's health across departments. Bundled in this solution is the SNEHA app, a tool that makes the lives of anganwadi workers simple, efficient, and effective.

SAJAG, our next-generation AI-based predictive analysis, is being developed especially for the Defence departments of India. 

CSTEP is assisting the Indian Navy with supply chain and logistics management. Smart and Rapid Inventory (SORIN), our AI-based tool, optimises the efficiency, cost and speed of supply chain and logistics management.

Following the Mumbai terror attacks, of November 26, 2008, CSTEP initiated a project on emergency and disaster management in coordination with CAIR (Centre for Artificial Intelligence and Robotics). The primary goal was to develop a platform to train personnel amongst various responding agencies for collective decision-making. It was evident from the terror episode that effective coordination between multiple agencies was essential to minimise the damage caused by such incidents.