International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Weather Data Analysis and Temperature Prediction using Machine Learning |
|---|---|
| ABSTRACT | Weather forecasting plays an important role in daily planning, agriculture, transportation, and disaster management. With the availability of real-time weather data and advancements in machine learning, accurate short-term temperature prediction has become more accessible. This project presents a Weather Data Analysis and Temperature Prediction System developed using Python and Streamlit. The system fetches historical and real-time weather data from the Open-Meteo Weather API based on user-provided geographical coordinates. The collected data is preprocessed, and relevant features are extracted for analysis. A Random Forest Regression model is trained to predict the maximum daily temperature (temp_max) using historical weather parameters. The performance of the model is evaluated using Root Mean Square Error (RMSE) to measure prediction accuracy. The predicted results, along with current and forecasted weather information, are visualized through an interactive Streamlit-based dashboard using graphs and charts. The proposed system provides a simple, user-friendly, and cost-effective solution for short-term temperature prediction and weather data analysis without requiring complex infrastructure. . |
| AUTHOR | SHASHANK SINGH BHADOURIYA, ANMOL CHAURASIA, HARSH KUMAR, SNEHA TAMRAKAR, PROF.RAJEEV RAGHUWANSHI B.Tech Student, Dept. of CSE-AIML, Oriental Institute of Science and Technology, Bhopal (MP), India Dept. of CSE-AIML, Oriental Institute of Science and Technology, Bhopal (MP), India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401016 |
| pdf/16_Weather Data Analysis and Temperature Prediction using Machine Learning.pdf | |
| KEYWORDS | |
| References | Open-Meteo Weather API Documentation 2. Streamlit Documentation 3. Python Data Analysis Libraries |
