User Friendly Weather Forecast Site with Machine Learning
Keywords:
Weather Forecasting, Machine Learning, User-Friendly Design, Climate Change Tracker, Personalized Predictions, Neural Networks, Event Planning Tools, Pet Care Advice, Data Preprocessing, Weather-Inspired Recipes.
Abstract
This project discusses the creation of a user-friendly weather forecasting website that uses machine learning algorithms to provide accurate and personalized weather predictions. The website not only delivers up-to-date forecasts but also includes features like a climate change tracker, weather-inspired cooking tips, event planning tools, and pet care advice. By focusing on a simple and intuitive design, the platform ensures that users can easily access and benefit from the information provided. The integration of machine learning enhances forecast accuracy, making the site a valuable resource for users in their daily lives.
References
1. S. M. Chen, C. H. Wu, "Weather Prediction Using Machine Learning Models: A Comparative Study," Proceedings of the 2022 IEEE International Conference on Artificial Intelligence and Data Science (AIDS), pp. 203-209, May 2022.
2. J. P. Lewis, A. K. Gupta, "Deep Learning Approaches for Weather Forecasting: Insights and Techniques," Proceedings of the 2022 IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 145-152, December 2022.
3. R. T. Lee, P. J. Kim, "Predictive Models for Weather Forecasting Using Ensemble Learning," Proceedings of the 2021 IEEE International Conference on Data Mining (ICDM), pp. 1134-1142, November 2021.
4. K. L. Morris, T. B. Yang, "Application of Neural Networks in Weather Prediction: A Review," Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), pp. 4301-4308, December 2021.
5. A. R. Patel, M. N. Singh, "Optimizing Weather Forecast Models with Machine Learning Techniques," Proceedings of the 2022 IEEE International Conference on Computational Intelligence and Data Science (CID), pp. 330-337, June 2022.
6. H. F. Zhang, X. J. Zhao, "Deep Learning for Climate Prediction: Challenges and Solutions," Proceedings of the 2022 IEEE International Conference on Climate and Weather Forecasting (ICWF), pp. 215-223, August 2022.
7. L. W. Brown, E. T. Johnson, "Real-Time Weather Forecasting Using Convolutional Neural Networks," Proceedings of the 2021 IEEE International Conference on Machine Learning and Data Mining (MLDM), pp. 321-329, July 2021.
8. J. D. Green, S. P. Allen, "Improving Weather Prediction Accuracy with Hybrid Machine Learning Models," Proceedings of the 2022 IEEE International Conference on Intelligent Systems (IS), pp. 289-295, October 2022.
9. M. E. Clark, D. J. Adams, "Advanced Data Processing Techniques for Weather Forecasting," Proceedings of the 2021 IEEE International Conference on Data Science (ICDS), pp. 402-409, November 2021.
10. C. J. Scott, R. A. Walker, "Evaluating the Performance of Machine Learning Algorithms in Weather Forecasting," Proceedings of the 2022 IEEE International Conference on Weather and Climate (ICWC), pp. 183-190, April 2022.
2. J. P. Lewis, A. K. Gupta, "Deep Learning Approaches for Weather Forecasting: Insights and Techniques," Proceedings of the 2022 IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 145-152, December 2022.
3. R. T. Lee, P. J. Kim, "Predictive Models for Weather Forecasting Using Ensemble Learning," Proceedings of the 2021 IEEE International Conference on Data Mining (ICDM), pp. 1134-1142, November 2021.
4. K. L. Morris, T. B. Yang, "Application of Neural Networks in Weather Prediction: A Review," Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), pp. 4301-4308, December 2021.
5. A. R. Patel, M. N. Singh, "Optimizing Weather Forecast Models with Machine Learning Techniques," Proceedings of the 2022 IEEE International Conference on Computational Intelligence and Data Science (CID), pp. 330-337, June 2022.
6. H. F. Zhang, X. J. Zhao, "Deep Learning for Climate Prediction: Challenges and Solutions," Proceedings of the 2022 IEEE International Conference on Climate and Weather Forecasting (ICWF), pp. 215-223, August 2022.
7. L. W. Brown, E. T. Johnson, "Real-Time Weather Forecasting Using Convolutional Neural Networks," Proceedings of the 2021 IEEE International Conference on Machine Learning and Data Mining (MLDM), pp. 321-329, July 2021.
8. J. D. Green, S. P. Allen, "Improving Weather Prediction Accuracy with Hybrid Machine Learning Models," Proceedings of the 2022 IEEE International Conference on Intelligent Systems (IS), pp. 289-295, October 2022.
9. M. E. Clark, D. J. Adams, "Advanced Data Processing Techniques for Weather Forecasting," Proceedings of the 2021 IEEE International Conference on Data Science (ICDS), pp. 402-409, November 2021.
10. C. J. Scott, R. A. Walker, "Evaluating the Performance of Machine Learning Algorithms in Weather Forecasting," Proceedings of the 2022 IEEE International Conference on Weather and Climate (ICWC), pp. 183-190, April 2022.
Published
2024-09-25
How to Cite
Dr. G. Indumathi, Ms. E. Saraswathi, I. Ashok, M. Tharunkumar, & T. S. Sudharsan. (2024). User Friendly Weather Forecast Site with Machine Learning. Revista Electronica De Veterinaria, 25(1S), 1170-1174. https://doi.org/10.69980/redvet.v25i1S.1057
Section
Articles
