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Smart Healthcare Assistant App Using AI & Data Analysis

Year: 2026

Type: article

Abstract: This project presents an AI-Based Smart Healthcare Assistant Application developed using Machine Learning and Data Analysis techniques. The system is designed to provide intelligent healthcare support by predicting diseases based on user symptoms and generating personalized healthcare recommendations. The application utilizes machine learning algorithms such as Decision Tree, Random Forest, Support Vector Machine (SVM), Logistic Regression, and Hidden Markov Model (HMM) for disease prediction and analysis. The system integrates frontend and backend technologies along with database management for efficient healthcare data processing. The proposed healthcare assistant improves early disease identification, real-time monitoring, healthcare accessibility, and user awareness. It also supports future enhancements such as wearable device integration, IoT-based monitoring, and advanced AI-driven healthcare analytics. This project was developed as a final year B.Tech Artificial Intelligence and Data Science project under Anna University.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20096394

Authors: Ruffin Eunogia D, Kaviya Mary L, Pavithra J, Mercy P, Mrs. Mohanapriya T

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7160756136

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