aNdr3W03/Jernihin
Water Quality Prediction | SIB Dicoding Cycle 3 | C22-078 Capstone Project
This tool helps individuals and communities quickly assess water quality for better resource management. By inputting measurements like pH, oxygen, turbidity, and sediment, you receive a prediction of water quality, categorized from "Excellent" to "Poor." This is ideal for environmental monitors, local authorities, or concerned citizens who need to understand the potability or safety of water sources.
Use this if you need a straightforward way to classify water quality based on key chemical and physical parameters without complex lab analysis.
Not ideal if you require highly precise, scientific-grade water quality analysis for regulatory compliance or in-depth research.
Stars
7
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 21, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/aNdr3W03/Jernihin"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
OuyangWenyu/torchhydro
TorchHydro: datasets, and models for watershed hydrological modeling
mhpi/hydrodl2
Repository for MHPI differentiable hydrological models.
confidence-duku/bakaano-hydro
A distributed hydrology-guided neural network model for streamflow prediction
WaterFutures/water-futures-battle
Part of the Battle of Water Networks competition series | WDSA/CCWI 2026, May 18-21, Paphos,...
IBM/Environmental-Intelligence-Suite
IBM Environmental Intelligence Suite