Hospital Recommender App

Project Code :TCMAAN428

Objective

The goal of the proposed system is patients can get recommended with nearby hospitals with similar satisfaction levels and the major factors, which contribute to their satisfaction.

Abstract

The recommendation system could mine the user's behavior operation data and provide different personalized recommendation services for different users. The problems of inaccurate and incomplete description of patients' needs in internet medical service have brought great challenges to the recommendation of internet medical service. Designing medication recommendation system is a need for the fast-growing world. In this fast-growing world, the need for the application which recommend a medication led to a doctor friendly and hospital free atmosphere for all users all over the world. It weighs the ranking of hospitals on three different parameters namely polarity, subjectivity and intensity. The hospital with the best ranking for curing a particular disease is then given as result to the user asking for a recommendation.

Keywords: Recommendation System, User Behavior Data, Personalized Recommendations, Internet Medical Service, Medication Recommendation, Hospital Ranking Parameters.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W CONFIGURATION:

β€’ Processor                        -    I3/Intel Processor

β€’ RAM                              -    8 GB 

β€’ Hard Disk                        -    1TB


S/W CONFIGURATION:

β€’ Operating System          - Windows 10

β€’ JDK - java

β€’ Plugin                          - Kotlin

β€’ SDK - Android 

β€’ IDE - Android studio


Demo Video

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