Unlocking Wildfire Insights with AI-Powered Visual Question Answering
Wildfires devastate ecosystems, communities, and economies worldwide, with rising frequency and intensity driven by climate change, human activity, and environmental shifts. Analyzing wildfire insights such as real-time detection, predictive patterns, and risk assessment enables proactive response, resource allocation, and long-term prevention.
Without advanced tools, stakeholders rely on fragmented data, delaying action and amplifying losses; our system changes that by transforming multimodal environmental data into actionable intelligence.
We harness artificial intelligence to build a cutting-edge Visual Question Answering (VQA) system. It ingests diverse inputs like satellite imagery, sensor readings, weather data, and ground footage, then answers complex queries such as "What is the wildfire spread risk in this forested area over the next 24 hours?" or "Which zones show early smoke detection?"
Powered by deep learning and agentic AI, our platform delivers precise detection, predictive modeling, and risk visualizations, empowering firefighters, governments, and researchers to mitigate threats effectively.
Project Details: AI-Powered Insight Engine for Wildfire Data Reasoning
Team:
Undergraduates Postgraduates
Ashen Sandeep Kosala Jayaweera
Sunera Sandaruwan
Sithum Jayarathna
Venura Samarappuli
Supervisor: Prof. Dulani Meedeniya