This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Algeria, Local Chapter.

The problem

Forest fires in Algeria have been a major problem, causing significant ecological and economic damage. Despite efforts to prevent and combat these fires, they continue to occur, often resulting in the loss of lives, homes, and natural resources. Traditional methods of monitoring and detecting fires, such as ground patrols and surveillance towers, have proven to be inadequate in terms of efficiency and accuracy.

To address this issue, there is a need for a more effective and efficient system for detecting and monitoring forest fires in Algeria. This project aims to develop a Forest Fire Detection and Monitoring System using satellite imagery and machine learning to help prevent and control forest fires in Algeria.

The goals

In this project, the Omdena team aims to develop a Forest Fire Detection and Monitoring System for Algeria using Satellite Imagery and Machine Learning. The project’s primary goal is to accurately detect and monitor forest fires in real time, enabling rapid response and mitigation efforts.

With a duration of 8-weeks, this project aims to:

• Data Collection: Collect and preprocess satellite imagery data for Algeria.
• Exploratory Data Analysis: Analyze and visualize the collected data to gain insights.
• Model Development: Develop a Deep Learning model using Convolutional Neural Networks (CNN) to detect forest fires in satellite imagery.
• Training and Optimization: Train and optimize the developed model using various techniques such as transfer learning and data augmentation.
• Model Evaluation: Evaluate the model’s performance on a test dataset and fine-tune the model as needed.
• Real-time Monitoring: Develop a web-based app to monitor and visualize the detected forest fires in real-time.
• Deployment: Deploy the developed system for use by local authorities and stakeholders in Algeria.

Overall, the Forest Fire Detection and Monitoring System will provide valuable insights and early warnings to mitigate the devastating effects of forest fires on the environment and human lives

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work