Background/Objectives: Dengue fever is a mosquito-borne tropical disease caused by the dengue virus. It is a life-threatening disease lots of people died due to dengue because its symptoms are not detected at early stages many parsons thought that it was a normal fever or headache so that they ignore it which cause there are in dangerous situations and worst case they lose their life. Methods/Statistical analysis: We applied data mining techniques along with artificial intelligence technique to create an expert system which can diagnose dengue with the help of symptoms provided by the users. In data mining portion, we use data filtering, data cleaning and clustering, and some other technique to enhance our dataset. Moreover, in AI portion we create an expert system where we create a knowledge base, fact base and GUI portion through user enter their symptoms and our system work is to predict dengue based on symptoms that user feed in GUI as input. Findings: With the implementation of this project, we expect that our expert system is capable of predicting dengue based on person symptom's that we take as a Dataset and saves lots of life of various persons. The main aim of this project is accuracy measure and efficiency also because there is lots of work is pending in this area, and some researchers are searching for new methods. Improvements/Applications: our proposed work will apply in the field of the medical area where a person is capable of checking their dengue symptoms and analyzing their disease.

DINESH CHANDRA,SHAZIYA ISLAM,DEEPAK PANDEY."Prediction of dengue with the use of AI and Data mining: An Expert system". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.6, Issue 09,pp.340-346, September - 2019, URL :https://ijcert.org/ems/ijcert_papers/V6I703.pdf,

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