Inspiration
By harnessing AI, forest fire prevention is enhanced through advanced data analysis and deduction. AI algorithms process environmental data, including temperature, humidity, and vegetation levels, to predict fire risks. Through deductive reasoning, AI models can identify potential ignition sources and human activities contributing to fires. This combined approach enables proactive measures and targeted interventions, significantly reducing the occurrence and impact of forest fires while promoting sustainable land management.
What it does
It classify the given input image as fire and smoke. Then it will show the location of the image to turnoff the fire.
How we built it
we have done signup and login in node.js and using html we have done website. We have used cnn machine learning model used to classify the image as fire and smoke. Then it shows the location where the fire is occurred
Challenges we ran into
Using flask is a challengeable one. Using this flask we integrated the machine learning model to the website.
What we learned
We learnt to work with html, ml, flask, node
Team members
- Harini A
- Subashini M
- Harish Bhalaa S
- Hariynie C
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