The model has 98% accuracy as compared to the measured SBHP(with gauge). It is made to extrapolate and interpolate values to obtain best pseudo reduced wellhead pressure value, and carry out all the possible iterations involved in the calculation automatically.
It is a light weight application built with Python3-Flask(backend) and React-Vite(frontend).
- Python3
- Flask
- React-Vite
- Pandas
- NumPy
This Application requires:
Python (>= 3.9)
numpy==1.23.2
pandas==1.4.3
Flask==3.0.0
React-Vite
See Requirements for details.
:Visit the website at https://..................
1. export SECRET_KEY=set to any random alphanumeric character or use python built-in `from uuid import uuid4()` to generate any random values2. export DB_PASSWORD = Betini2024
3. export REDIS_URL=redis://localhost:6379 To use this application locally, follow the steps below:
1. Open the terminal or command prompt
2. git clone ``
3. cd Estimate-SBHP
4. cd server
5. python3 views.py (use Postman to test the APIs)
6. cd client
7. npm install
8. npm run dev
9. visit `htpp://localhost:5173`
Property | Description |
---|---|
server | Directory |
client | Directory |
README.md | File |
- Github: betiniakarandut
- LinkedIn: betini-akarandut
- Tweeter: @betiniakarandut