AI-powered weather prediction and analytics system
AI-powered weather prediction, machine learning, Random Forest regression, Flask
This project aims to develop an AI-powered weather prediction and analytics
system that will provide accurate real-time weather insights along with future
temperature forecasting. The system will integrate external weather APIs to collect
both historical and current weather data and will apply machine learning techniques
to analyze patterns and predict future temperature trends. A Random Forest
regression model will be used to generate short-term forecasts, enabling better
decision-making for users. The application will be designed using a full-stack
architecture, with Python and Flask for backend development to handle data
processing, API integration, and model execution, while the frontend will be built
using modern web technologies to ensure an interactive and user-friendly interface.
The system will visualize both actual and predicted weather data through dynamic
charts for easy understanding of trends and patterns.
Unlike traditional platforms such as Google Weather, this system will incorporate a
custom-trained machine learning model to generate independent predictions. It will
also provide analytical insights, prediction accuracy, and trend visualization,
making it more transparent, customizable, and useful for individuals and
organizations relying on weather-based decisions.
Registration ID: IJVRA_702605 Published ID: IJVRA26A3066
"AI-powered weather prediction and analytics system", IJVRA - International Journal of Versatile Research and Analysis (www.IJVRA.org), ISSN:2984-8903, Vol.4, Issue 3, page no.181-187, March-2026, Available :https://ijpub.org/ijvra/papers/IJVRA26A3066.pdf
Paper Reg. ID: IJVRA_702605
Published Paper Id: IJVRA26A3066
Research Area: Other area not in list
Country: BAPATLA, ANDHRA PRADESH, India
ISSN: 2984-8903 | IMPACT FACTOR: 9.12 Calculated By Google Scholar | ESTD YEAR: 2023
An International UGC CARE JOURNAL PUBLICATION Low Cost (₹599), Scholarly Open Access, Peer-Reviewed, Refereed Journal Impact Factor 9.12 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage, Crossref DOI Member Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJVRA (IJ Publication) Janvi Wave
© 2026 - Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition.
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