Rainfall prediction using historical data and neural network Department: Computer Science By: olagok01 Project ID: 8903 Rating: (3.1) votes: 12Rate this project12345 Price:₦4000 Get the Complete MaterialAbstractAccurate rainfall prediction is a critical component of meteorological science, with far-reaching implications for agriculture, water resource management, and disaster preparedness. Traditional forecasting methods, such as Numerical Weather Prediction (NWP), while physically robust, are computationally intensive and often lack the granularity for precise, localized forecasts. This project addresses these limitations by designing and implementing a data-driven rainfall prediction system that leverages historical meteorological data and the pattern recognition capabilities of Artificial Neural Networks (ANNs). The core of the system is a Long Short-Term Memory (LSTM) network, a type of Recurrent Neural Network (RNN) specifically chosen for its proficiency in modeling temporal sequences and capturing long-term dependencies in time-series data. The model was developed using Python with the TensorFlow/Keras library, trained on historical weather parameters including temperature, humidity, atmospheric pressure, wind speed, and past rainfall for Lagos, Nigeria. A key deliverable of this project is a functional, web-based application prototype built with the Flask framework, providing an intuitive interface for users to input data and receive instantaneous rainfall forecasts. The system was rigorously evaluated using standard metrics to ensure predictive accuracy and reliability. The successful implementation demonstrates that the LSTM model can effectively learn the complex, non-linear relationships between atmospheric variables and precipitation outcomes. This project concludes that neural networks offer a powerful, complementary approach to traditional forecasting methods, providing a scalable and adaptive framework for enhancing rainfall prediction. It serves as a foundational proof-of-concept for intelligent, data-driven weather forecasting tools that can be further developed for operational use, ultimately contributing to better decision-making and climate resilience. ...Preview Download Preview +Other Computer Science project topics and materials you might be interested in»Design and Implementation of digital library system»Design and Implementation of a Virtual E-Learning System ( Case study of Lagos State University)»Design and Implementation of Student Project Management and Allocation System»Design and Implementation of online cash receipt generating system for a supermarket»Design and Implementation of a Software Result Processing and Transcript Generation System»Design and Implementation of computerized hospital database management system»Design and Implementation of a Hotel Database Management System and Service ( A Case Study of Winter Suites and Hotels, Owerri)»Design and Implementation of Online Birth and Death Registration System»Design and Implementation of Online Clearance System»Design and Implementation of Loan Management System with SMS Notification»Design and Implementation of Computerized Staff Record Department»Design and Implementation of Cyber Cafe Security»Design and Implementation of N.Y.S.C Posting System ( A case study of N.Y.S.C Enugu)»Design and Implementation of a Computerized Fraud Detection in a Bank»Design and Simulation of a Secured Wireless Network