Senior Design 2025-26

EECS Day 2025-26

1. Smart Signal Detection: Edge AI Benchmarking on Intel NUC Pro 14

Team: Jalen Royall, Promise Achi, Cody Walkes, and Griffin Laney

This project developed an edge-AI system that classifies 52 RF signal types on compact Intel NUC hardware. OpenVINO-accelerated neural networks enabled fast, energy-efficient inference without relying on cloud computing.

2. HU Chatbot Advisor

Team: Cameron Robinson, Olusegun Afolabi, Isaac Davis, and Chinaza Okereke

HU Chatbot Advisor is an AI-powered student support tool that answers questions about academic advising, degree requirements, campus locations, policies, and university services using university-approved information.

3. NextVision: Automated Vegetation Monitoring System for Solar Infrastructure

Team: Adeyeye Oluwaseun, Ubhimhinye Odia, and Adekanmbi Adeoluwa

NextVision is a rugged, truck-mounted system that automatically captures GPS-tagged images of vegetation around solar infrastructure. Its Raspberry Pi platform uploads field data to AWS for scalable, data-driven maintenance.

4. Smart Assistive Retrieval System (SARS)

Team: Shane Alexandre, Narissa Hill, Sheridan Burke, and Isioma Nwansoh

SARS combines a robotic arm, RGB-D vision, and intelligent control to identify and retrieve nearby objects, helping individuals with upper-extremity motor impairments perform everyday tasks more independently.

5. FPGA-Based Hardware Accelerator for LLMs

Team: Aayush Jha, Jeff Mofor Allo, Chase Adams IV, and Bishesh Adhikari

This project developed a low-power FPGA accelerator for large language model inference. The prototype demonstrated 13–17 tokens per second while consuming only 1.740 W of on-chip power.

6. Bison Vision: Operation Touchdown

Team: Naresh Rawal, Bijaya Poudel, Emmanuel Mokua, and Kennedy Mensah

Bison Vision explored autonomous coordination between aerial and ground vehicles in GPS-denied environments. The project demonstrated autonomous UGV navigation and edge-based visual detection using a BrainChip Akida processor.

7. AgriSight: Autonomous Vegetation Mapping for NextEra Energy

Team: Ibukunoluwa Adeloye, Jessica Rubin, Itunuoluwa Akarakiri, and Jahmelia McCarthy

AgriSight combines a Raspberry Pi capture unit, AWS cloud services, machine-learning classification, and a GIS dashboard to identify vegetation overgrowth and support targeted maintenance at solar facilities.

8. Water Bottle Filtration Network

Team: Corlie Jackson McCormick and Godfred Asamoah

This project designed a portable water-filtration concept with integrated pH sensing. An Arduino/ESP32 module measures water conditions, transmits readings through Bluetooth, and displays them through a web interface.

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