PhysViz

PhysViz is a tele-rehabilitation platform that uses an established bluetooth-enabled load-monitoring hardware to promote engagement with home-based exercise therapy among individuals with Achilles tendinopathy. The Tindeq Progressor is used as the load-monitoring device to calculate the force exerted by the Achilles tendon during physiotherapy. The platform consists of a mobile application (app) and a web portal. The app guides patients through exercise sessions and logs user exercise data to a remote database. The physiotherapists can then access their patients’ data via a web portal to monitor their rehabilitation progress and adjust exercise prescriptions. Physiotherapists can also export the data from the web portal for further analysis.

Visit our slide-deck to learn more!

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JoyAdvisor

JoyAdvisor is a mobile app with a persona of a mental well-being advisor that not only reminds users of having fun but also takes it upon itself to come up with new joy activity suggestions based on what it learns about the user’s preferences. For this project, we developed the UX/UI of the application using Figma.

Visit our slide-deck or prototype or to learn more!

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Shopal Grocery App

Shopal 2.0 is a dual user-driver grocery delivery app that lets users order and delivers groceries from Shopal partner stores and tracks their order delivery in real-time. Our team was selected best-project among a pool of over 20 teams.

Visit our slide-deck to learn more!

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Shopal Virtual Assistant

Shopal is an intelligent home assistant that allows you to conveniently add items to your grocery shopping list while your hands are busy looking through the fridge and pantry through voice command. Furthermore, Shopal automatically sends your list when you arrive at the grocery store, so you never have to worry about forgetting it at home!
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Visit our slide-deck to learn more!

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​iPod with Volume Indication

I Implemented an iPod with a volume indicator and the ability to speed up, slow down, pause, or rewind the song. The project can be summarized in the points below:

• Built glitch-free Finite State Machines to read the flash memory containing the song
• Implemented an edge detector module to determine when the buttons on the keyboard are pressed
• Instantiated a PicoBlaze processor to accumulate the sample sound intensities
• Outputted the average of the intensities after every 265 interrupts to the De1-Soc’s LEDs

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Checkout projects done on Github.com.

Checkout codes done on Codeforces.com.