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Research Paper
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Paper Title

Health Diet Plan Based on Weather

Article Identifiers

Registration ID: IJNRD_323179

Published ID: IJNRD2604204

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Keywords

climate-aware food recommendation; weather-based dietary system; OpenWeather API; rule-based chatbot; dietary filtering; single-page application; nutritional informatics.

Abstract

Existing digital food recommendation platforms suggest meals based primarily on user preference history and cuisine filters, yet nutritional physiology research consistently shows that a person's caloric needs, appetite patterns, and food preferences shift with ambient temperature and humidity. This paper presents the Climate-Based Food Suggestion Chatbot, a lightweight single-page web application that addresses this gap by retrieving live weather data through the OpenWeather API, classifying it into five climate categories, and recommending contextually appropriate meals from a structured dietary dataset covering more than 45 dishes. The system supports vegetarian, vegan, non-vegetarian, and ketogenic dietary filters, and four health goals applied through a rule-based multi-parameter recommendation engine. A keyword-driven conversational chatbot handles natural language health queries, including scenarios such as fever, fatigue, and post-workout recovery, with optional voice input via the Web Speech API. All processing runs on the client side without any backend server, and session history is persisted using browser localStorage. Functional and cross-browser testing confirmed correct behaviour across five environments. A qualitative evaluation with ten participants yielded a mean recommendation relevance score of 4.4 out of 5 across five diverse climate scenarios. The system demonstrates that weather-aware, privacy-preserving dietary guidance is achievable without infrastructure cost, making it accessible to a broad user base including communities with limited internet connectivity.

How To Cite (APA)

Ganesan M & Dr.Sri devi R (April-2026). Health Diet Plan Based on Weather. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(4), c18-c26. https://ijnrd.org/papers/IJNRD2604204.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_323179

Published Paper Id: IJNRD2604204

Research Area: Other area not in list

Author Type: Indian Author

Country: Dindigul, Taminadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2604204.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2604204

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Publication Timeline

Paper Submission
02-04-2026
Peer Review
Through Scholar9.com Platform
Paper Acceptance
09-04-2026
Paper Publication
13-04-2026

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