Tool for identifying types of bugs
- [ ] Plan implementation (architecture diagrams)
- [ ] Choose stack (frameworks, languages etc)
- [ ] Gather training data
- [ ] Create designs (figma, AI generated)
- [ ] Write feature tickets
Run docker compose up to run the backend locally. Go to localhost:3000 to see the app.
cd into the backend folder.
You would have to be added to the project before you do this:
Run gcloud config set project bugcatcher-404002
Run gcloud app deploy to deploy the app.
Run gcloud app browse to open the app in the browser.
Go to https://bugcatcher-404002.uc.r.appspot.com/ for the app on line.
e.g. Frontend (react) allows photo upload. Photo is sent to backend for ML analysis. Response sent back to frontend.
TODO Implemenent in draw.io
Architecture for an Async Worflow: https://aws.amazon.com/blogs/architecture/managing-asynchronous-workflows-with-a-rest-api/
Similar idea: https://pyimagesearch.com/2018/04/30/a-fun-hands-on-deep-learning-project-for-beginners-students-and-hobbyists/