Bike-sharing demand prediction is crucial for companies like Uber, Lyft, and DoorDash to manage service spikes and enhance customer experience. This project employs the AutoGluon library to develop models for Kaggle's Bike Sharing Demand competition, aiding in efficient resource allocation and reduced wait times.