Routify is an AI-powered route optimization platform designed to simplify and enhance your travel experience. By leveraging advanced machine learning algorithms, Routify can analyze numerous possible routes and provide the most efficient option, saving you both time and fuel. It takes into account real-world factors like traffic patterns, time windows, and service durations, ensuring your journey is streamlined and cost-effective. Whether you're a delivery driver, sales representative, or in field service, Routify's easy-to-use platform caters to all your route planning needs.

The Multi-Agent Autonomous Waste Collection System is a research-driven platform that employs multi-agent reinforcement learning to train individual waste-collecting robots to collaborate on route planning. Agents learn to avoid redundant coverage, minimize travel distance, and respond to dynamic waste generation patterns. Built in Python, the system integrates a simulation environment for testing and refining policies before real-world deployment. Users can configure map layouts, waste drop-off points, agent sensors, and reward structures to tailor behavior to specific urban areas or operational constraints.