Team Hephaistos
Nasa Spaceapps 2023 Bursa Hackathon. Selected 2nd best project by local event jury.
We are using fully cloud enviroments to deploy.
npm run dev runs backend and frontend dev env.
cd apps/ml-pod && docker build -t hephaistos-ml-lighter . && docker run --rm --gpus=all hephaistos-ml-lighter this runs image recognition software on dockerized env, you need to configure image url in test_input.json
We are deploying our
- frontend, from render.com to global CDNs.
- backend, from railway to a single point region.
- using Postgres SQL from Neon Cloud Database
- Ai and ML lambdas to Runpod.io cloud Ai&ML Platform
you need to configure env file for dev and prod ENVs