Mrinmay-007/Final_yr
Live in productionmade rest api for ml models and application
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- Python98.9%
- PureBasic1.1%
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.
