NTERNET OF ANIMALS

Working as the youngest member in a team full of managers, senior managers and a managing director, we created a product with the soul purpose to look after farm animals with the help of artificial intelligence and IoT products. We created an ideal farm where the health and movement of all the animals will be tracked with sensors and a platform where farm owners can connect with each other and talks to doctors for suggestions.
In this sea of features I was responsible for the part to predict future diseases which may effect animals. It was a huge task for a novice mind who had just started getting to know machine learning. In order to achieve the results I went over various methods and courses to know how I can solve the task. This is when I discovered time series forecasting. Tried my hands on the ARIMA model and made a working code which could detect diseases in the pigs based on the health data of pigs in farms and the frequency by which these diseases occur. It was a breakthrough moment for me and I felt accomplished. I was also responsible for developing a model farm with toys and creativity. I enjoyed playing with those toys and the experience was amazing. Cherry on the top, this product helped us win the “People’s choice awards” at the Accenture Global Technology Innovation Competition 2020.

Uber like but for Health

Having a versatile portfolio at an MNC required me to change my gears and switch to new products more often. One fine time I was asked to soothe the travel of patients when visiting hospital in Indian cities. My main challenge here was to find the right customer segment which will benefit the most from such a feature. So I decided to go for elderly people who find it hard to visit hospitals. Their main pain point was how can they travel to and from hospitals when they don’t have anyone around to take them there. Then it struck me, what if an Uber like system could be implemented with the help of hospitals which can pick and drop elderly patients to the hospital. Some fine research showed that such an idea can easily work with metropolitan cities which has cabs and family members are busy during the weekdays. And there was also something like Uber Health. It was time to jump on the development part where I successfully developed a website which could easily manage such scheduling. A dashboard at the hospitals that will also ensure that the patients have a means to book cabs for their future visits. If patients feel like, they can call the hospitals and they can book a ride for them too. It was a short process for me which hardly took few weeks but bringing in the hospitals into the solution was a fine update I am proud off.

Hospital of the future

As a product owner of Uber like system for hospitals, I was in the team which was responsible for modernising the hospitals. In this project I acted as a UI/UX designer who designed 6 KIOSK UI designs which would help patients admitted at a hospital of such a kind. These KIOSKS dealt with: appointment booking, cab booking, medical procedure records and other undisclosed KIOSKS. This project helped me sharpen my thinking and artistic part where I feel I created various futuristic UIs.

The Incident Reporting App

A well thought app which can help users report an injury or an accident within 15 seconds. I was the sole product manager for this project, managing a team of 15 developer and designers. I have created the whole UI, prototpye of this application and also some part of development. Here's a mockup for this task

CLAIR: Clean Air route finder

An app which can find travel directions to destination considering air quality of the route. Good product for people suffering from airbone diseases. The app was finalist at the Accenture Technology Innovation Challenge 2019. I was a part of product planning and developing team.

Image processing for a mining client

Performed machine learning wih image processing a mining company. Purpose was to detect intrusion, safety of warehouse goods and unhandled tools at workplace. Was part of programming, data collection and presentation of the project to the client.