Hi I'm Kishan Ode|

Developer

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Student

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Designer

About Me

My name is Kishan Odedra and I'm a MSc Computer Science student at the University of Birmingham. In my spare time, I like video editing, graphic design and programming. I’m interested in the evolving HealthTech field, primarily in the use of Machine Learning in Medicine and Healthcare. I am currently learning full stack web development with JavaScript and Java, as well as automation and scripting with Python.

Projects

Click the projects to find out more!

HealthWhere

HTML

Sass

JavaScript

Node.js

HealthWhere

HealthWhere is a web application that retrieves information regarding any condition on the Health A-Z NHS website and displays local NHS related services. The project gave me practice in working with asynchronous data and APIs. This was my first attempt at creating a web application and it taught me a lot about how to communicate data between the client and server side.

Danbo Explains

Adobe Premiere Pro

Adobe Photoshop

Danbo Explains

Danbo Explains is part of an imagined series of videos that focus on aspects of the human body in regards to health and disease. We decided the best way to appeal to our intended audience of primary school children was to use a fictional character, which could help them visualise difficult concepts whilst also making it more fun and engaging. We settled on using stop motion to animate movements in order to produce a fluid style.

inteRX

React

Bootstrap

Node.js

MongoDB

inteRX

inteRX is a full stack web application that allows users to search for interactions between multiple drugs, and alerts them if there is a potential hazard in taking the combination of drugs they have searched. Submitted as part of HackSheffield5 which won 3rd place for best hack. Using git collaboratively taught me how to handle merges and conflict scenarios. I also learnt how to use React to create UIs and how to integrate data with the backend.

Verbal Seasoning

React

Bootstrap

Flask

Python

Verbal Seasoning

Verbal Seasoning connects with a robot companion to give people with aphasia a vocie. Using an EEG, information about your mood is sent the robot which interprets how you feel and responds accordingly. This provides people with speech impairment cognitive simulation which helps improve speech. Submitted as part of HackMed2020 which won 2nd place for best hack. This was my first time interfacing with hardware and I also learnt about websockets for event driven responses.

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