Prevalence of MetS is increasing among the adult population of India. Urban poor adopt an urbanized lifestyle, which places them at a higher risk for obesity, diabetes and hypertension. Along with that, they have poor access to healthcare, high out of pocket expenditure and poor purchasing ability and food availability. In India, there is paucity of data on the interplay of several risky variables in the increased burden of MetS among adults in urban slums settings. There is limited information on multifaceted interventions useful for self-management of cardio-metabolic risk factors leading to MetS. Research Question: What is the feasibility of an interactive, tailored internet and mobile enabled digital health intervention in enhancing self-management of MetS among urban poor populations. To achieve aim one, a mixed method approach including both (qualitative and quantitative) assessments will be used to develop a model that will describe the interplay between the living environment and other cardio-metabolic risk factors such as diet, physical activity, stress and sleep. We will employ focus groups and in-depth interviews among a sample of population enrolled across various urban slum settings of New Delhi. To achieve aim two, we will utilize combined principles of learning, behavioral and humanistic theories with principles of human centered approach to design and develop an interactive, tailored mobile and internet enabled digital health intervention platform aimed to support self-management among individuals living with MetS in urban poor settings. Findings of the objective one will help to inform define the essential elements/modules and features of the proposed digital health intervention. To achieve aim three, pilot test the utility and feasibility of the proposed digital health intervention in an urban poor community settings of New Delhi (areas including North, South, East, West and Central zones of New Delhi) to measure the usage, adherence, satisfaction and acceptance with the proposed digital health intervention platform. The outcome of the study is to develop a model that describes interplay between environmental and cardio metabolic risk factors such as diet, physical activity, stress and sleep to identify barriers and facilitators in enhancing MetS self-management among individuals living in urban poor settings. Identify user needs using human centered approach and findings of objective one to design and develop an interactive, tailored internet and mobile enabled digital health intervention aimed to enhance self-management of MetS among individuals living in urban poor settings. The study will also help identify essential components of the digital health intervention to help individuals self-manage their MetS. Pilot testing of the intervention will help us inform the utility and feasibility of the role of digital health interventions to enhance self-management of MetS especially among high-risk vulnerable and underserved populations. The study will help in developing a model that describes interplay between environmental and cardio metabolic risk factors. Secondly, there is very little information available on successful multi-faceted interventions for enhancing self-management of MetS risk factors among urban poor populations. The proposed digital heath intervention model will utilize principles of human centered approach involving users input all through during the design and development of the intervention to help self-manage MetS among adults living in urban slum settings.