Forest Fire Prediction Using Machine Learning Project #finalyearprojects

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Abstract : Our abstract introduces the transformative potential of machine learning in forest fire prediction. Highlighting its pivotal role in proactive wildfire management, we explore the methodology behind leveraging vast datasets to forecast and mitigate forest fires with unprecedented accuracy. Through advanced algorithms, we analyze environmental indicators, historical trends, and real-time data to predict fire occurrences, enabling timely intervention and resource allocation. Emphasizing the significance of this technology in safeguarding ecosystems and communities, we illustrate its ability to revolutionize traditional fire prevention strategies. Our abstract offers a glimpse into the innovative landscape of AI-driven forest fire prediction, heralding a new era of resilience and sustainability

Tech : Python Code

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