The platform provides a great opportunity to work with industry experts and other AI professionals on a variety of innovative projects.
Home / Challenges / Ongoing Projects / Developing an Automated Forest Fire Detection and Early Warning System Using AI Technology
This Omdena Local Chapter Challenge runs for 5 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 Omdena Thimphu, Bhutan Chapter.
Forest fires are a serious threat to the environment, biodiversity, and livelihoods of people worldwide, and Bhutan is no exception. Every year, forest fires in Bhutan cause significant damage to natural resources, wildlife, and human settlements/life. Traditional forest fire detection methods, such as visual patrols (by anyone), are often ineffective due to the rugged terrain and large forested areas. The delay in detecting and responding to forest fires can lead to the rapid spread and uncontrollable wildfires, which can result in significant environmental and economic losses. The existing forest fire management system in Bhutan relies heavily on human resources and lacks the necessary technological support to prevent and manage forest fires effectively. Therefore, there is a need to develop an automated forest fire detection and early warning system that leverages AI technology to detect fires in real time and provide timely alerts to the relevant authorities for prompt action. The proposed system aims to provide a cost-effective and efficient solution to reduce the number of forest fires in Bhutan and mitigate their impact on the environment and local communities.
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.
Beginner-friendly, but also welcomes experts
Education-focused
Open-source
Duration: 4 to 8 weeks
The platform provides a great opportunity to work with industry experts and other AI professionals on a variety of innovative projects.
I feel Omdena is the stepping stone to discover the true potential of AI.
After all this mind-blowing experience, I feel much closer to the person I wanted to be for a very long time: a technology change maker.
I have learned so much in several domains including data mining, AI, ML, transfer learning, NLP.
Working in a collaborative project helped greatly in boosting my data science confidence.
After the Omdena project, I see that career adaptation was a necessary thing in today’s trends.
Collaboration across continents, time zones, and perspectives, especially on a social science-linked challenge was mind-opening.
Joining Omdena was an important career milestone. A unique way of learning and contributing to social good.
Collaborative AI enables robust AI solutions through sharing knowledge, perspectives, and promoting diversity and inclusion.
The community made me feel a sense of freedom and provided a non-judgmental environment where I was enabled to help others.