Detecting Fire Combustion in Forests

The project aims to build a model that detects forest fires using convolutional neural networks.

  • 4.6
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  • ( 90 )
  • guided-inn1
    8 Hrs
  • guided-inn1
    Intermediate
Project Description
Forest fires are a major environmental issue, creating economic and ecological damage while endangering human lives. There are typically about 100,000 wildfires in the United States every year. Over 9 million acres of land have been destroyed due to treacherous wildfires. It is difficult to predict and detect Forest Fire in a sparsely populated forest area and it is more difficult if the prediction is done using ground-based methods like Camera or Video-Based approach. Satellites can be an important source of data prior to and also during the Fire due to its reliability and efficiency. The various real-time forest fire detection and prediction approaches, with the goal of informing the local fire authorities.

Architecture:


Project Activities

Skills you will develop

  • CNN
  • Open CV
  • Deep Learning

Mentor

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Mentor Rating star-fill4.8 / 5 (6)

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Reviews
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SYED RAZA

American University of Sharja, Sharja,UAE

It was a fruitful experience. A clear road map was provided to follow throughout the project along with an in-depth introduction of the packages required. The guided labs were extremely helpful and easy to follow.

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Harshitha Josyula

GITAM University,Hyderabad, India

The Guided Projects were not only based on solving real world problems but were also really informative, the smartinternz platform has each and every step in detail and even though if we were stuck at any point the Mentors would help us to resolve all our queries. overall it was a great experience.

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Anuraag Moharana

College of Engineering and Technology, Bhubaneswar, Odisha, India

I took Part of Aritificial Intelligence Guided Project from Smartinternz, it was a wonderful experience and highly motivating, It's a very innovative and smart platform for internships. It provides smarter ways of guiding and interacting with participants and educating through guided labs and projects. It really helped me in giving a boost to my career.