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License: GNU General Public License v3.0

JavaScript 1.95% HTML 1.64% CSS 1.70% TypeScript 71.62% Python 21.35% Dockerfile 1.74%

sapps-web-mono's Introduction

Team Hephaistos

Nasa Spaceapps 2023 Bursa Hackathon. Selected 2nd best project by local event jury.

How to run

We are using fully cloud enviroments to deploy.

Local dev

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

Deploy

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

.ENV file

you need to configure env file for dev and prod ENVs

sapps-web-mono's People

Contributors

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