Arrakis Harvest Planner

This project, 'Arrakis Harvest Planner', is a niche production planning tool for a simulated, arid planet like Arrakis from Frank Herbert's 'Dune'. The core concept is to create an interactive web application that allows users to plan and optimize 'spice' (or any valuable resource) harvesting operations. Drawing inspiration from 'Interstellar's' resource scarcity and 'Drone Navigation's' route optimization, the planner would simulate environmental hazards like 'sandworms' (represented by dynamic threat zones) and resource distribution across a procedurally generated map. Users would input parameters like harvester drone speed, carrying capacity, and risk tolerance. The scraper element comes into play by potentially sourcing real-world environmental data (e.g., weather patterns for resource availability or risk prediction) to inform the simulation, though for initial implementation, this can be simulated. The tool would use pathfinding algorithms (similar to drone navigation) to generate efficient harvesting routes, aiming to maximize resource collection while minimizing travel time and exposure to simulated threats. The interface would be visual, showing harvester paths, threat areas, and resource nodes. The niche lies in its thematic connection to 'Dune' and 'Interstellar', appealing to fans of science fiction, while offering a practical application of optimization algorithms in a unique context. Low-cost implementation would involve a front-end framework (like React or Vue.js) and a back-end for simulation (e.g., Python with Flask or Django), with the map visualization handled by libraries like Leaflet or Mapbox. Earning potential could come from premium features such as advanced AI-driven route suggestions, multiplayer planning simulations, or even integration with real-world agricultural or mining scenarios where terrain and hazard prediction are crucial. It could also be marketed as a unique educational tool for teaching optimization and simulation concepts.