In environments where internet access is unavailable or insecure, there's an increasing demand for portable systems that can securely capture, process, and transmit voice communication in real time. K-Nightwing AI Transcribe is a fully offline, real-time speech translation device built to meet that need. Designed to capture radio frequency (RF) signals, transcribe speech, translate foreign-language audio, and deliver results directly to a mobile device — all without relying on Wi-Fi, cloud services, or cellular data — the system functions entirely in the field.
At the heart of the system is a Software-Defined Radio (SDR), which captures RF transmissions such as walkie-talkie conversations. These signals are processed by a Jetson Orin Nano, running an optimized AI transcription model capable of handling multilingual input. Once the audio is transcribed and translated, the Jetson sends the data in real time over UART to an ESP32, which forwards the final JSON-formatted output to a mobile device via Bluetooth.
The system includes a custom-designed PCB with onboard power monitoring, current sensors, and a built-in LCD screen for device control and live status updates. Users can view Bluetooth connection status, monitor battery percentage and power usage, and send commands such as START or STOP to the Jetson. The accompanying Android app displays live transcription output and is fully functional offline. Whether used for translation, transcription, or keyword detection, K-Nightwing AI Transcribe offers a robust solution for field-based communication monitoring.
Electircal Engineering
Alayna Thurner is a senior at the University of Central Florida, where she will earn her Bachelor of Science in Electrical Engineering in May 2025. Following graduation, she will join Nightwing’s CODEX business unit as a Vulnerability Research and Reverse Engineer, tackling complex cyber challenges and delivering innovative solutions to both commercial and government clients.
Electircal Engineering
Sophia Demers is a senior pursuing her Bachelor’s Degree in Electrical Engineering. She has accepted a full-time offer to join L3Harris as a Systems Engineer after graduation. Her professional focus is on system and integration testing, emphasizing hardware and software reliability in real-world environments.
Computer Engineering
Christine Hawkins is a senior pursuing her Bachelor’s Degree in Computer Engineering. She currently works on the Global Information Security team at Walt Disney World, where she contributes to the design and development of secure web applications. Upon graduation, Christine plans to continue her career as a Software Engineer, bringing her expertise in software development, hardware design and machine learning to impactful projects.
Computer Engineering
Simeon Feliz is a current senior at the University of Central Florida, studying to acquire a Bachelor’s Degree in Computer Engineering, with a minor in Intelligent Robotic Systems. Upon receiving his degree, Simeon plans on working as a Test and Systems Integration Engineer, bridging the gap between Machine Learning and Artificial Intelligence with robust hardware designs.
A showcase overview of our entire system including hardware integration, software flow, and live operation.
⬇ Download VideoThis presentation outlines our project proposal and initial system planning as part of the Critical Design Review (CDR).
⬇ Download VideoThis video shows our system functioning at mid-semester, including successful Bluetooth communication and AI Transciption and Translation.
⬇ Download VideoOur final presentation where we explain the full system architecture, software pipeline, and project outcomes.
⬇ Download VideoThis is the final system demo showing real-time radio signal translation, transcription, and mobile delivery.
⬇ Download Video