There are 2 tools in order to help Zakar to control the wildfires better:
1 - Dashboard using Streamli to help everyone understand the situation, year by year.
2 - A model trained to alert as soon as possible focus on wildfire. This model receives the messages from the sensors and tries to warn immediately the population, sending alerts that can be read by everyone. The model used machine learning (XGBoost) to create the model.
Project Name
Helping to save Zakar
Project Type
Project Description
There are 2 tools in order to help Zakar to control the wildfires better:
1 - Dashboard using Streamli to help everyone understand the situation, year by year.
2 - A model trained to alert as soon as possible focus on wildfire. This model receives the messages from the sensors and tries to warn immediately the population, sending alerts that can be read by everyone. The model used machine learning (XGBoost) to create the model.
Streamlit link
https://zakarhackathon2023-dashboard.streamlit.app/
Source code link
https://github.com/htsnet/zakar-hackathon-2023-solution
Instructions for the reviewers
Preparing the environment
python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
create a file ".env" e fill in the variables: HOST=< host memphis > USER=< user memphis > PWD=< password memphis > ID=< id memphis >
run python prediction.py --> it will read the new messages of each new day from sensors and it will produce alert messages in case of firewood
What made you decide to build this particular app?
To respond to the request of the government of Zakar. It is my contribution to the society.
Other information
No response
Confirm submission of private form