I'm a machine learning enthusiast. From 2018, I've been learning more about the field by taking various courses online. From the math to implementation, machine learning is the field for which I can work continuously. Later on I shifted to integration of machine learning with web/android applications/extensions. The driving force for me is to make machine learning more accessible. Instead of python scripts, I want them to come alive. Integrating it to various applications expands the scope of ML to a whole new level. Instead of just training/testing on batch data, using it to make stuff happen is what I aim to achieve. Specifically, for this edition, I plan to work on its application in dev tools. The recent project I did was in Google summer of code under biomedical informatics, Emory University. I was assigned to make testing various deep learning models in the browser on client slide on the whole slide images. I worked with tensorflowjs. I learnt about memory management when integrating machine learning in web applications, webGL and about so many fields I still have to explore. I am passionate about developing applications which are of actual utility. The app I plan to develop is something I myself need to improve my productivity as a developer and hackathons provide the best platform and motivation to do so.