Skip to content
Mrinmay-007

Mrinmay-007/Final_yr

Live in production

made rest api for ml models and application

0 0PythonPush 4d agoListed 1mo agoNo license on GitHub

No GitHub topics on this repo.

  • Python98.9%
  • PureBasic1.1%
View on GitHub

Report a problem

1 Review

Final_yr looks like the backend foundation for a larger final-year application, with FastAPI, MongoDB via Motor/PyMongo, routers for user, logbook, weather, and language/translation behavior, plus dependencies for auth, bcrypt/passlib, Google Translate APIs, Pydantic settings, and FastAPI tooling. The actual main.py is simple but clean enough: it creates the FastAPI app, enables CORS, connects to Mongo on startup, closes the connection on shutdown, and includes the feature routers. The README gives the essential local run path: create a virtual environment, install requirements, then run with fastapi dev main.py or uvicorn main:app --reload. As a reviewer, I see a useful backend taking shape, especially with log save/history routes and weather endpoints. The main issue is documentation maturity. Right now the README reads like personal setup notes, not a product description. It needs a project name, problem statement, environment variables, endpoint table, example requests/responses, database schema notes, and auth flow explanation. Also, allow_origins=["*"] is fine for testing but should be tightened before deployment. This has a workable backend skeleton; the next big win is making the project understandable to someone who did not build it.