Byte-for-Bait

Forest Fire Prediction and Detection using ML. Made for mainly two Stakeholders (Forest Dept to monitor the data and Individual Person for crowdsourcing). Web Application(based on Flask) built on top of it to display the results to the forest department. Web-Portal to get data(latitude, longitudes, images of fire) from the user and add to the data set and contributing to crowdsourcing. Flutter app with chatbot and SMS service integration for alert messages. Visualization in the form of 3 different maps ( Clustering Data Map for the fire-prone areas, Crowdsourced map to display locations provided by users, NASA API which gets updated in every our and plots the fire spots). Database connected to securely store all the data. Show less