achiabodo / waterlevelmonitoring

Water Level Monitoring Project

Overview

This project develops a machine learning system to measure water levels. It predicts changes in water levels, helping to manage resources and prepare for disasters.

Getting Started

Prerequisites

Ensure Python 3.x is installed on your system.

Installation

1. Clone the repository to your local machine.
2. Navigate to the project directory in your terminal.
3. Install the required packages by running pip install -r requirements.txt.

Data Preparation

• !TODO

Configuration

• The training configuration is defined in the configs folder using Hydra.
• Execute train.py to train your model(s).

Models Trained

This project explores various machine learning models for predicting water level changes, including:

• !TODO

Use Cases

• Detection:Detect che current water level given a sensor image
• Forecasting: Predict future water level changes based on historical data.

Results

Trained models and their performance metrics !TODO

License

This project is licensed under the MIT License. See the LICENSE file for details.