MishMash hackathon is India’s largest online diversity hackathon. The focus will be to give you, regardless of your background, gender, sexual orientation, ethnicity, age, skill sets and viewpoints, an opportunity to showcase your talent. The Hackathon is Live from 6:00 PM, 23rd March to 11:55 PM, 1st April, 2020
Azure Services Used- Azure Kubernetes Service(AKS), Azure Storage, Azure Container Instance (Details in the presentation).
🔥 Pitch
The COVID-19 pandemic is not new to anyone. The number of cases is growing so fast that the pace at which the counter-measures are being conducted is not enough. Many individuals and companies have built deep learning-based solutions around the publicly available datasets but the data is flowing in as new cases keep popping up.
This project proposes a solution to keep up with the new data. A REST API to serve the deep learning model to detect COVID-19 from XRay images and an automated pipeline that trains the model with the new data and updates the API.
🔦 Additional Notes
The repo and presentation were updated after the first posting of the issue.
The youtube video link will be added soon.
If there is any problem with the demo links, please contact me (Kartheek Surampudi) on slack for further assistance.
✅ Checklist
Before you post the issue:
[x] You have followed the issue title format.
[x] You have mentioned the correct labels.
[x] You have provided all the information correctly.
ℹ️ Project information
Theme: Deep Tech - Detection of COVID-19 with X-ray images.
Project Name: COVID-Kicker
Short Project Description: A fully automated, deep learning-powered REST API to detect COVID-19 from X-ray images.
Team Name: binarySunset
Team Members: Kartheek Surampudi (@k4rth33k), Naga Nikshith (@naganikshith04), Hruday Pavithrachary (@hruday007)
Demo Link: API: http://api-covid.eastus2.azurecontainer.io/, YouTube Video:
Repository Link(s): https://github.com/k4rth33k/covid-xray
Presentation Link: https://docs.google.com/presentation/d/1rO95ZMugsAIWjrT0sHfqV8uprOthUPjc5aO4pr9nLbw/edit?usp=sharing
Azure Services Used- Azure Kubernetes Service(AKS), Azure Storage, Azure Container Instance (Details in the presentation).
🔥 Pitch
The COVID-19 pandemic is not new to anyone. The number of cases is growing so fast that the pace at which the counter-measures are being conducted is not enough. Many individuals and companies have built deep learning-based solutions around the publicly available datasets but the data is flowing in as new cases keep popping up. This project proposes a solution to keep up with the new data. A REST API to serve the deep learning model to detect COVID-19 from XRay images and an automated pipeline that trains the model with the new data and updates the API.
🔦 Additional Notes
The repo and presentation were updated after the first posting of the issue. The youtube video link will be added soon. If there is any problem with the demo links, please contact me (Kartheek Surampudi) on slack for further assistance.
✅ Checklist
Before you post the issue: