This project focuses on creating a prototype algorithm designed to automate the negotiation of shipping slot allocations for companies at maritime ports. Triggered by incoming shipment orders, the system intelligently manages and negotiates time slots, taking into account constraints such as vessel availability, port capacities, and shipment priorities. The workflow involves real-time data processing and decision-making to optimize slot distribution while minimizing conflicts and delays.

• Backend logic will be implemented in Python, leveraging frameworks like Flask or FastAPI for API endpoints.
• Data analysis and manipulation utilize Pandas and NumPy, while persistent storage is managed using PostgreSQL or SQLite.
• An optional user interface may be developed using React.js or standard HTML/CSS to visualize negotiation outcomes and monitor system status.
• The solution will be hosted on a cloud platform such as AWS, Heroku, or DigitalOcean, with version control managed via GitHub.