• Prachi Lakde
• P.S.Kokare
• Deshmukh Aakanksha
• More Rutuja
• B. A. Patil

Hospitals are the most broadly used capability by using the usage of which a sick character receives scientific check-ups, health problem analysis and remedy recommendation. This has been a workout by means of the use of almost all the human beings over the world. People suppose it as the most reliable skill to test their fitness status. The proposed machine is to create an alternative to this conventional technique of visiting a fitness facility and making an appointment with a medical doctor to get a diagnosis. In this machine we are making use of the principles of computing gadget and reading to create a chatbot application. People can engage with the chatbot simply like they do with each and every other human and via a sequence of queries, the chatbot will predict the disease. This device can be of great use to people in conducting day with the aid of day check-ups, makes human beings conscious of their fitness recognition and encourages people to make suitable measures to proceed to be healthy. According to this research, such a gadget is no longer broadly used and human beings are much less aware of it. Executing this proposed machine can assist human beings preserve away from the time-consuming approach of journeying hospitals by means of the usage of this free of value application, at any place they are.

Medical chatbot, Machine Learning, Disease Prediction, Random Forest, Decision Tree, Naïve Bayes, KNN.

"Disease prediction model using machine learning algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.535-543, August-2022, Available :http://www.jetir.org/papers/JETIRFP06096.pdf

"Disease prediction model using machine learning algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp535-543, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06096.pdf