OpenVessel was a start-up I founded back in 2020 that was trying take open-source machine-learning, deep learning models, and general AI tools and improve and validate them to achieve tumor detect inside of a CT scans like Lung-scan or Liver Scan.
Won a competitive challenge out of 500 teams awarded as one of the finalist for $5,000 for developing healthcare AI-based solutions to real-world problems. After the competition our team wanted to a start up.During my time at the Nittany AI Competition at University Park (Spring 2020-2021), I successfully led 8 person team in the Nittany AI Challenge, emerging as a finalist out of 500 teams and securing a $5,000 award for developing AI-based solutions to real-world problems. Simultaneously, I was start-up founder of OpenVessel, where I led the full-stack software engineering efforts. I designed and implemented features using JavaScript (React) for the front-end, and Python (Flask and Django) for the back-end, deploying the platform on Linode. I managed schema design for the full-stack database, utilizing PostgreSQL and SQLite, and handled Linux-based deployments on AWS, GCP, and Linode.
This was the video that won us $5,000 from the Nittany AI Competition.
Afterwards we began a project for liver segmentation on livers and tumor detection. You can check the model and code here.
I designed this Orientation Packet v7 with Nathaniel Liesis
SRS
Use Case Flyer
Pitch Deck
Report on Liver Detection System
Unpublish Liver Detection Research paper
Storing Medical Files on Web3 storage
Storage problem in medical data science
https://ethglobal.com/showcase/medical-images-uploaded-to-filecoin-by-openvessels-ie6gn
