GigEfx Labs aims to enhance its e-supermarket delivery system by developing an AI/ML-powered logistics app. The current challenge is to efficiently manage and optimize the delivery of products purchased from the e-store using a crowdsourcing model. The goal is to create an intelligent system that can predict demand, optimize delivery routes, and allocate resources effectively. This project will allow learners to apply their knowledge of AI and machine learning algorithms to real-world logistics problems. The app should be user-friendly and capable of integrating with existing e-commerce platforms. The project will focus on developing a prototype that demonstrates the feasibility and effectiveness of using AI/ML in logistics management.

The project deliverables include a functional prototype of the AI/ML-powered logistics app, a comprehensive report detailing the algorithms used, and a presentation showcasing the app's features and benefits. The prototype should include a user interface, demand prediction capabilities, and route optimization features. Additionally, documentation should be provided to explain the integration process with existing systems.