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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: CLOUD-BASED INTELLIGENT HEALTH RISK PREDICTION SYSTEM
Authors Name: MEGHARSHA MAHESH , AYISHA NESRIN PS , BLESSLIN B , VISHNUPRIYA JB
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IJRTI_211940
Published Paper Id: IJRTI2604336
Published In: Volume 11 Issue 4, April-2026
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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
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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
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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
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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