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Byte-for-Bait for NASA Space Apps detecting Forest Fire Using ML models and finally deploying the model on flutter and providing a personalized Bot for the same.

Python 0.97% Shell 0.01% PowerShell 0.01% C 0.01% JavaScript 0.01% CSS 0.01% HTML 98.27% Java 0.01% Swift 0.01% Objective-C 0.01% Dart 0.01% Jupyter Notebook 0.74%

byte-for-bait's Introduction

Byte-for-Bait

Steps for running the bot>> Open code.bot 2.Add it to your website or anywhere e.g Twilio OR Just try this link https://bot.dialogflow.com/85c2a533-3924-4eed-9090-2ab6c4ce08f2

For running ppt download application from the ppt link and use the file to open the prezi.zip ppt can be accessed online directly

This project is based on the early detection and validation of Forest Fires using crowdsourcing implementation. It has dashboards, maps, apps, ml models at the backend and even a chatbot for easy user involvement.

byte-for-bait's People

Contributors

avikantsrivastava avatar sunchit17 avatar sanyam8055 avatar harshshrivastava27 avatar akshatjaipuria avatar

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