The Hemas Logistics Console is a microservices-driven ecosystem engineered to streamline and automate complex logistics operations. Developed for the highly competitive HEMAS Aithon 2026 hackathon, the platform focuses on precision, speed, and enterprise scalability. By integrating modern web frameworks with predictive AI, the system eliminates traditional logistics bottlenecks, transforming manual shipment tracking and quoting into a seamless, autonomous workflow.
Special Features
- Automated Document Parsing: Seamlessly tracks incoming logistics emails, extracting critical shipment data to update PostgreSQL databases instantly without human intervention.
- Automated Gruping ML Model: Integrates the Gemini API to intelligently cluster and sort similar shipments, maximizing logistics consolidation opportunities.
- Predictive Routing AI: Utilizes a dedicated machine learning layer to analyze carrier pricing versus service quality, automatically identifying the most cost-feasible routing solutions.
- End-to-End Quotation Automation: Completely automates workflows for requesting, receiving, and processing supplier quotes.
- High-Performance Architecture: Built with a blazing-fast React (Vite) frontend and a Python FastAPI backend for ultra-fast asynchronous REST APIs.
Key Learnings & Takeaways
- Microservices Architecture: Gained deep experience in engineering scalable ecosystems handling complex database schemas using SQLAlchemy and PostgreSQL.
- Applied AI Integration: Learned how to effectively implement LLMs (Gemini API) and ML layers to solve real-world logistical routing and data extraction challenges.
- Full-Stack Optimization: Mastered the integration of asynchronous Python FastAPI backends with real-time React dashboards to deliver seamless enterprise user experiences.