Faculty and Student Research Poster Session and Research Fair

Traditional mailroom operations in residential settings often rely on manual logging, paper-based tracking, and inconsistent communication. These inefficiencies can lead to lost packages, delayed pickups, and poor tenant satisfaction. This project leverages modern web technologies, AI, and middleware design to address these gaps through automation, observability, and secure data handling.
We aim to transform routine administrative processes into a data-driven, efficient model by developing an affordable, scalable, and customizable open-source Mailroom Management System. Our Django-based solution will empower smaller residential operators with modern digital tools to enhance speed, traceability, and resident satisfaction.

Core Technology:
Django web framework (MVT architecture) and relational database and chatbot assistance services.

Key Features:
AI-assisted package intake and automated email notifications with secure QR-based pickup.
Basic AI chatbot support to check package status.
Role-based dashboards for residents and staff.
Audit logging and robust error handling for reliability.
Support for known and unknown recipients (flexibility).

Design Principles:
Usability: Simple, user-centered interfaces requiring minimal training.
Security: CSRF protection, secure sessions, input validation to protect resident data.
Scalability: Supports large databases, multiple users, and future integrations (mobile apps, carrier APIs).
Reliability: Ensures accurate recordkeeping and prevents data loss.
Flexibility: Adapts to incomplete resident information.
Object-Oriented Design: Applied OOP principles for maintainability, modularity, and future enhancements.