IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 120

Article Submitted : 24205

Article Published : 9239

Total Authors : 24597

Total Reviewer : 847

Total Countries : 165

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: CLOUD-BASED INTELLIGENT HEALTH RISK PREDICTION SYSTEM
Authors Name: MEGHARSHA MAHESH , AYISHA NESRIN PS , BLESSLIN B , VISHNUPRIYA JB
Download E-Certificate: Download
Author Reg. ID:
IJRTI_211940
Published Paper Id: IJRTI2604336
Published In: Volume 11 Issue 4, April-2026
DOI:
Abstract: Environmental hazards, such as air pollutants and toxic substances, pose significant long-term risks to human health, contributing to chronic diseases including respiratory illnesses, cardiovascular problems, and cancer. Often unnoticed, these exposures accumulate over time, impacting individual well-being. This project presents a Cloud-Based Intelligent Health Risk Prediction System that collects health parameters either through manual input controls on a web interface or via an Arduino Nano microcontroller board connected to the user's laptop by USB, which produces randomised health parameter values for the front-end. Environmental data is obtained automatically by the application using the OpenWeatherMap API, which retrieves real-time meteorological and air-quality metrics based on the user's latitude and longitude coordinates. Both health parameters and environmental data are processed together by a pre-trained machine learning model hosted in a Flask back-end. The model computes a health risk score (0-100) and passes the combined context to the Open Router API, which queries the DeepSeek large language model to generate personalised, actionable recommendations on how to avoid or resolve the identified health risks. All outputs-the risk score, status classification, and AI-generated recommendations-are rendered directly on the front-end web interface. By empowering individuals with actionable, AI-driven information and continuous monitoring, this solution aims to improve health outcomes, especially in polluted environments, fostering proactive and informed health management.
Keywords: Health risk prediction Internet of Things (IoT) Machine Learning Cloud Computing Flask DeepSeek Large Language Model (LLM) Environmental Monitoring OpenWeatherMap Arduino Nano
Cite Article: "CLOUD-BASED INTELLIGENT HEALTH RISK PREDICTION SYSTEM", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c530-c541, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604336.pdf
Downloads: 000205507
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2604336
Registration ID:211940
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c530-c541
Country: KANNIYAKUMARI, Tamil Nadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604336
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604336
Share Article:

Share Facebook Twitter Google+ Pinterest LinkedIn Email Tumblr WhatsApp Google Gmail

Click Here to Download This Article

Article Preview
Click Here to Download This Article
Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300
IJRTI

WhatsApp
Click Here

Indexing Partner
Copyright © 2026 - All Rights Reserved - IJRTI