Sleep Disorder Detection and Recommendation System Using Machine Learning and Chatbot Integration

Jay Jejurkar1, Smarth Shinde2, Raj Warade3, Parth Aaherrao4, Asst. Prof.
Sunil Datir5

1Computer Engineering Department, KBTCOE, Nashik, India

2Computer Engineering Department, KBTCOE, Nashik, India

 3Computer Engineering Department, KBTCOE, Nashik, India

4Computer Engineering Department, KBTCOE, Nashik, India

5Computer Engineering Department, KBTCOE, Nashik, India

Abstract
Honestly sleep is something most of us take for granted until it starts going wrong. A big chunk of people worldwide are dealing with sleep is-sues but they never really get it checked prop-erly because going to a sleep clinic is expensive and not exactly convenient. So we thought why not build something that helps people figure out whats going on with their sleep without hav-ing to go through all that. We made a simple web app where you answer some basic questions about your sleep habits and a machine learning model tells you which sleep problem you might have. It can detect seven different sleep disorders like Sleep Apnea, Insomnia, Restless Legs and a few others, or it tells you your sleep is fine. On top of that the app gives some tips to improve sleep and also has a chatbot using Gemini API so you can ask questions. We got around 91.6 percent accuracy which we feel is pretty good for a tool meant to give people a starting point before they see an actual doctor.