Final Year Project

Project Title

WeatherWalay

Description

Our project aims to deliver hyper-local weather forecasts for Pakistans underserved regions using advanced interpolation techniques like Kriging and LSTMs. Collaborating with WeatherWalay- a startup, were tackling the challenge of sparse weather station coverage by integrating spatial and temporal data to predict temperature, humidity, wind speed, and rainfall with enhanced accuracy. Our purpose is to empower stakeholders, freight transporters, travelers, and event managers, with precise, location-specific advisories via a user-friendly mobile app. Our project includes a Virtual Weather tool as a deliverable, broadening its scope. By testing models and documenting insights, we aim to compare prediction accuracies and highlight influential factors like wind speed, temperature, and humidity. Benefits include improved decision-making, scalable weather prediction technology, and a research-backed framework for future enhancements. It blends machine learning and practical app design to address real-world weather forecasting gaps.