Deforestation is a critical environmental issue, and it is essential to monitor and detect deforestation activities for conservation efforts. This project focuses on building a deforestation detection system that leverages machine learning algorithms to analyze satellite imagery and detect deforestation activities. This project is done as a part of the Undergraduate Minor Project with the team effort of four group members : -
- Contributor: DipeshBartaula
- Contributor: cwane
- Contributor: bishalrijal227
- NGAWANG SOPHA TAMANG
Key features of the project include:
- Satellite imagery data collection and processing.
- Machine learning model development for deforestation detection.
- A web-based frontend using Flask to interact with the model and visualize the results.
- Integration of the machine learning model with the Flask web application.
To get started with the project, follow the instructions below. You need to clone the master branch including all the files
Before running the project, make sure you have the following prerequisites installed on your system which allows to run the project:
- Python 3.x
- Virtual Environment (recommended)
- Flask (for the frontend)
- Required Python packages (specified in the project's requirements file)