Document Type

Honors Thesis

Abstract

As Technical Lead of the Rotary Operations Management & Automation Platform (ROMAP), my Honors contribution focused on developing a Bluetooth Low Energy proximity-based attendance system enabling automatic, hands-free member check-ins. I researched and selected beacon hardware, designed RSSI-based distance calculation algorithms, and implemented platform-specific background processing for iOS and Android, achieving 97% detection accuracy. Beyond this Honors component, I architected the complete backend infrastructure including a Node.js API with 20+ endpoints, PostgreSQL database with Prisma ORM, and JWT authentication. I also developed a novel GPT-4 Vision automation system that intelligently populates web forms through computer vision, achieving 95% success rate across portal updates. The pilot deployment validated my implementations: the BLE system achieved 97% accuracy, AI automation eliminated 17 hours monthly of manual work, and check-in time reduced from 3-5 minutes to 15 seconds, demonstrating advanced expertise in IoT systems, AI integration, and full-stack development.

Disciplines

Artificial Intelligence and Robotics | OS and Networks | Software Engineering | Systems Architecture

Publication Date

2025

Language

English

Faculty Mentor of Honors Project

Dr. Christopher Conly

License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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