A Deep Learning Approach for Detection of Pollen Grain – An informative Chatbot

Abstract

According to the world allergy organization pollen allergic plants causes many diseases which are harmful to the human being. People are unaware of the effects of pollen allergic plants on their lives. So to be able to mitigate risk of pollen plant allergies on human we have built a solution which would not only classify the pollen allergic plants but also be able to answer the given query about that specific pollen plant. Along with that a web based platform is designed. Our system is intended to mitigate the risk of error of manual detection of pollen allergic plant which is considered to be error prone. The system works as a computer-aided tool which is cost effective and time efficient. Thereby, aid the expert and non-expert people. Our system is dependent on three modules i.e classification module, NLP module and graphical user interface. we have integrated our graphical user interface (GUI) with the image classification module and with the NLP module.