challenge statement:Real-Time, Personal Monitoring Device for Pregnant Women in Remote Areas Approach -My team designed and developed a low cost, portable, light, personal device, used by non-practitioners or the patients themselves in very remote areas to monitor wellbeing of mother and unborn child in real time. The system was capable of monitoring the Placental separation,Fetal wellbeing,Hypertension ,Fetal abnormalities / Fetal presentation and Mother wellbeing.The form factor of the device was a wearable belt and had an interface to an App .

My team developed an IoT based solution which will help in data collection of the weight(using wireless weighing scaled developed by us) and the quality of segregation of waste(rated by waste collector on physical inspection) at source enabled by a mobile App.The whole system was enabled by a cloud based data analytics cum waste management platform . This solution passively enforces quality segregation practices through gamification.

My hack on a connected healthcare system in a hospital setup for real-time notifications and monitoring of vital stats of patients remotely by caretakers/nurses/doctors using Winjit IoT gateway -SDM was awarded the first place.

My app Train Hostess which enabled the passenger experience onboard by enabling services like coach cleaning request,ticket upgrade requests,next station reaching time,hault time,wake up alarm at destination and medical and food services on the train journey,won the Exotel API challenge and we were awarded a Go Pro Hero camera.

My team secured the runner up place at the event for the Swachh Sauchalaya solution-a crowd sourced IoT based toilet management system which allows users to identify toilets in the vicinity along with cleanliness parameters ,facilities available and user ratings.The users after using the toilets are prompted for ratings using beacon technology.Cleaning routines of the toilets are automated based on footfall tends.Public can add new toilets to the network and on verification it will become visible to users.

I worked an VR based game controlled using sensor input from accelerometers and the myoband to enhance the stroke rehab regime thus enabling quantification of the therapy thus providing a tool to measure prognosis of it.