Electrical & Computer Engineering capstone

Team #1: Garage Guard

Automated garage door open with gesture and image recognition

Team members: Umer Mubeen, Kevin Brockmann, Safiullah Shah, Omar Abbas

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #1: Precision Collective

This project focuses on developing a efficient system to automatically sort resistors based off their resistance values. By integrating accessibility features and time saving mechanisms, the system aims to simplify the process enabling users to focus on circuit design.

Team members: Shanzeb Immad, Johnnathan Gershkovich, Josh Umansky, Ethan Tehranzadeh

Capstone advisor: Chih-Hung Chen

Team #2: SSIG

The Self-Sustaining Intelligent Greenhouse integrates real-time environmental monitoring to optimize plant growth while minimizing energy consumption and manual intervention. Leveraging a wooden and plexiglass architecture, and a web-based dashboard, the system balances environmental conditions such as temperature and CO₂ to create a closed-loop, resource-efficient agricultural solution.

Team members: Inno Panem, Irtaza Syed, Aaron Rajan, Karanvir Braich, Sameer Shakeel

Capstone advisor: James Chen, Shahram Shirani

Team #2: Super! Electric!

To pursue energy efficiency and lowering standard requirements for the power supply unit, we will need a super capacitor module, to provide the energy for occasional power spikes. The project seek to design a management module that allows high energy efficiency, while maintaining affordable cost and small size.

Team members: Shan Qing Pan, Jiahui Yu, Wenrui He, Feichen Zhou

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #3: KeyWave

We’re developing an AI-powered DJ that uses advanced machine learning to analyze and mix music tracks in real-time, creating seamless, dynamic playlists tailored to any mood or setting. Our goal is to blend technology and creativity to redefine how music is experienced.

Team members: Michael Nguyen, Tim Tang, Yao Yuan, Mohamed El Sayed

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #3: Green Current

A hydroponic system capable of providing one individual with continuous access to leafy green vegetables with minimal active maintenance and without access to the power grid.

Team members: Leon Murray, India Groundwater, Fatemeh Zahirisaransari, Dean Lam Tze Ting

Capstone advisor: Chih-Hung Chen

Team #4: W.A.R.S.

An automated system that dynamically changes with the weather outside your car to help you drive safer and with less distractions.

Team members: Cole Cadera, Jackson Bell, Viktor Veljanovski, David Sagalovitch

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #4: Equanimiti

A flexible mental health app that uses retrieval-augmented generation to create personalized exercises for managing anxiety and depression, tailored based on users’ previous responses. It also offers a speech recognition feature, allowing users to complete exercises by speaking instead of typing.

Team members: Robert Benitez-Ek, Gurleen Dhillon, Ajneet Banwait, Nicholas Kuk, Antheus Aldridge

Capstone advisor: Chih-Hung Chen

Team #5: GloveX

We are developing an innovative motion capture glove to wirelessly synchronize hand movements with a robotic arm in real-time. By utilizing flex sensors to capture finger-bending angles, an Arduino for data processing, and a Bluetooth module for seamless communication, our glove provides precise motion tracking. The system integrates an STM32 microcontroller to ensure fast and reliable control of the robotic arm, enabling accurate replication of human hand movements.

Team members: Chuchu Zeng, Yujia Guo, Jiangzhuo Hui, Zepeng Wang

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #5: S05

A precision 3-axis automated soldering system with AI-driven quality control to enhance efficiency and reliability in PCB assembly.

Team members: Mayar Aljayoush, Arji Thaiyib, AHmad Choudhry, Abdullah Hafeez, Arjun Bhatia

Capstone advisor: Shahram Shirani

Team #6: Sldr ² ✧˖°

Our project aims to design a wearable vest embedded with sensors to assist individuals with vision-loss or spatial awareness issues to safely and confidently navigate through various environments without the need for other safety equipment. The vest will provide real-time feedback to the wearer about their surroundings by using vibrations to indicate any obstructions in their way to reduce the risk of collisions.

Team members: Dania Sherif, Rayan Mokdad, Ryan Simoes, Luca Mastroiacovo, Sana Khan

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #6: S06

The AlignPro posture detection device is designed to monitor and provide real-time feedback on the user’s posture through a wearable system integrated into a vest.

Team members: Tejas Sheth, Ahmad Hamzah, Carson Stolk, Tyler Greenwood

Capstone advisor: Chih-Hung Chen

Team #7: RF Doom

VoidLink is an affordable and compact wireless communication device. VoidLink forms a decentralized network to relay relative position and critical information over long ranges with minimal power.

Team members: Boran Seckin, Lukas Koutza-Janisch, Stefan Praniauskas, Milena Thibault

Capstone advisor: Chih-Hung Chen

Team #7: Shock-star Laser

A multi-purpose camera vision orientated laser tracker with software and hardware controls. Initially displayed as a low voltage prototype for bug repellent the Shock-star has a wide variety of applications for defence, farming, personal security and autonomous machines.

Team members: Samarth Mehta, Sava Jankovic, Akash Sharma, Emil Soleymani

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #8: Stop and GO

This project involves designing a controller to manage a Brushless DC (BLDC) motor and implement regenerative braking. The controller will efficiently recover energy during braking and feed it back to the system, enhancing energy efficiency and battery performance.

Team members: Mayar Elkzzaz, Samuel Samaan, Jonnah Duque, Jason Wigmore, Liam Watson

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #8: Team Groot

The Automated IoT Indoor Plant Cultivation System optimizes plant growth by monitoring and controlling key factors such as pH, water levels, and light intensity. Using sensors and automated pumps, it dynamically adjusts conditions to maintain an ideal environment, while IoT integration enables real-time monitoring and remote control for enhanced convenience.

Team members: Yuzhou Jiang, Hanyu Huang, Dehe Meng, Zemeng Wang, Dishu Yang

Capstone advisor: Shahram Shirani

Team #9: NextMove

Chrome Extension that uses AI to personalize your emails.

Team members: Yash Bhavsar, Aidan Mathew, Semantika Pandey, Taiwo Rabiu, Kehinde Rabiu

Capstone advisor: Chih-Hung Chen

Team #9: Enclosed Ecosystem

This project involves developing a sustainable, enclosed ecosystem that integrates a fish tank and plant bed, leveraging photosynthesis to grow plants, support aquatic life, and reduce CO2 levels while autonomously managing environmental conditions. Targeted at residential, commercial, and industrial users, it offers an innovative solution for low-maintenance gardening, and carbon footprint reduction.

Team members: Ally Luu, Nathan Rodrigues, Abdelrahman Mostafa, Caroline LI, Ha Le

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #10: Jom & Terry

A wrist-worn computer mouse designed for people who have limited hand dexterity, who have undergone hand amputation, or who were born without a hand.

Team members: Luke West, Ryan Xu, Matthew Yu, George Gill

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #10: PetPal Feeder

A smart device that recognizes pets and automatically delivers the ideal portion of food based on their size.

Team members: Junbo Wang, Chaoyang Chen, Tao Yan, Zihao Song, Cheng-Kai Weng

Capstone advisor: Chih-Hung Chen

Team #11: Harmonic Quarter

Chord Finder is a hardware-based system that detects musical notes, identifies chords in real-time, and provides instant feedback to help musicians learn and practice more effectively.

Team members: Arnur Seken, Parsa Salmatian, Anh Hoang, Ayeman Hyder

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #11

WireNet is a web-based wire harness and connectivity management system designed for technical teams and industry applications, offering a more user-friendly and efficient alternative to traditional routing software. WireNet enables rapid implementation, easy connection verification, and intuitive connector table outputs to streamline wiring harness planning and manufacturing.

Team members: Arjun Snider, Kurt Snell, Christy Joseph-Anton, Steven Samu

Capstone advisor: Chih-Hung Chen, Shahram Shirani

Team #12: The Capaciteers

A smart dartboard that enhances the darts experience through computer vision-based score detection and interactive LED lighting. The integrated LEDs create a dynamic and engaging gameplay experience, while a companion app enables users to manage various game modes and track player statistics.

Team members: Aithihya Kompella, Shathurshika CHandrakumar, Lawrence Suitor, Grace Xing, Benji Richler

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #12: CP Ball

Our capstone project focuses on developing an AI-powered basketball training assistant that combines machine learning and computer vision to provide players with real-time feedback, performance tracking, and personalized training recommendations.

Team members: Jibin Mathew, Ronit Ahuja, Anthona Acosta, Biswajit Saha

Capstone advisor: Chih-Hung Chen

Team #13: Medi-traX

The Medical Monitoring System is a network of three devices working in tandem to deliver medical history and real-time information to both patients and first responders. The bracelet will convey information like a robust medical history (allergies, diseases, medications, etc.) & real-time information (blood oxygen & pulse) to both the patient and first responder devices. The patient device displays the sensor information, and will potentially house a non-invasive glucometer. The first responder device will provide paramedics with a graph showing the sensor data over the last few hours, as well as alerting them to the aforementioned medical history.

Team members: Hazel Al Afif, Nathan Rosehart, Luke Hendrikx, Mohammad Bishr Hamideh

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #13: BitByBit

This project aims to build an integrated smart home system using a Raspberry Pi as the central controller. The system includes AI-powered facial recognition for secure access control, real-time data collection from sensors (temperature, motion), device management (lights, fans), and remote control via a mobile app.

Team members: Sara Shehada, Falak Shaikh, Areeba Irfan, Clara Abadir

Capstone advisor: Chih-Hung Chen

Team #14: Fireball Fighters

Our Smart Fire Detection System reimagines traditional fire alarm systems by integrating a network of advanced smart devices. Our smart devices are designed with sensors to monitor temperature, humidity, smoke, and carbon monoxide, along with a thermal camera that maps fire intensity and propagation. This real-time data is transmitted to a web application, where it is visually processed to provide fire fighters and emergency responders with faster, clearer, and more actionable insights.

Team members: Earl Parker, Ricky Chao, Ryan Kumar, Ansh Tiwari, Rafik Manla Hassan

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #14: JAYM Software Ltd.

AiPron is an AI safety and cooking assistant to be used within the home kitchen with the goal of being able to assist in hands-free recipe instructions and reduce personal injuries.

Team members: Joelle D’Amico, Ankit Aggarwal, Yahya Selim, Magda Shehata

Capstone advisor: Chih-Hung Chen

Team #15: HyperMag

An electromagnetic accelerator that can continuously propel a projectile using magnetic fields generated by passing current through inductors. This is a small scale representation of hyperloop, and maglev trains.

Team members: Andrew Power, Mohit Aasi, Aarti Sethi, Sajan Flora, Carlos Ceniceros-Arce

Capstone advisor: Chih-Hung Chen

Team #15: InkSync

InkSync is a smart pen for non-touchscreen devices that allows you to take digital notes on any surface without the use of a tablet.

Team members: Andrew Ye, Arthur Myshkin, Kyle Stamp, Zhe Wang

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #16: BabyFi

Our project focusses on creating a smart in-car monitoring system that helps parents stay focused on driving while also keeping an eye on their baby’s well-being. We want to give parents peace of mind by providing a reliable system that monitors the baby’s movements and sounds, and offers helpful suggestions when needed.

Team members: Jil Shah, Jainesh Soni, Shiv Thakar, Mit Patel, Pravine Manivannan

Team #16: KrakenLink Communications

A system to establish a bidirectional data link through water using lasers.

Team members: Cass Smith, Zaryaab Hasan, Oscar Lu

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #17: Autonomous Bicycle

A bicycle that is able to balance on its own and navigate its surroundings autonomously.

Team members: Ahmed Khan, Thomas Rybiak, Shabab Rahman, Richard Qiu, Abdul Nasir Noori

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #17

An autonomous cart designed for transporting personal belongings. Equipped with computer vision and advanced sensors, it intelligently tracks and follows a designated user.

Team members: Patrick Tan, Jaideep Pannu, Zain Kamran, Dave Duroshola

Capstone advisor: Chih-Hung Chen, Shiran Shahram

Team #18: Lunar Forge

An electro-mechanical interface between the Lunar BRICS and NASA Ames ARMADAS architectures to enable low landed mass lunar surface construction.

Team members: Ryan Theriault, Samuel Crane, Ryan Ferri, Josh Blanchard

Capstone advisor: Cameron Dickinson

Industry advisor: MDA Space

Team #18: Ping-Pong Master

The objective of this project is to develop an electronic referee system for table tennis that automates ball tracking, real-time scoring, foul detection, and provides player performance analysis. This system will cater to professional players, coaches, and referees, improving decision accuracy and enhancing player development.

Team members: Sike Xiong, Shunyao Jiang, Yuxuan Xu, Changyu Liang

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #19: First Person View Gaming Motion Controller

Create an interactive controller that takes user movement as inputs to control a mobile video game. The device is meant to be a budget alternative to virtual reality as it would be designed to mimic the immersive experience of virtual reality by tracking the user and converting it into instructions to be pipelined into a video game.

Team members: Fan Ho, Patrick Wang, Yue Xu, Xingyu Liu

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #19: Ninja Turtles

The safety of motorcyclists on the road is paramount especially when it comes to hazards like blind-spots. The need for real-time information without distractions is the aim of our Capstone project, MotoVision HUD which aims to enhance rider safety and situational awareness.

Team members: Saad Siddiqui, Rafay Talpur, Dayyan Hashmi, Farzan Faisal

Capstone advisor: Chih-Hung Chen

Team #20: TagSense

A reusable self releasing clothing tag and an automated checkout system that uses RFID technology for a quick and seamless shopping experience.

Team members: Justin Covach, Ben Miles, Danielle Fong, Isaac Kong, Brian Ho

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #20: ANN-E

Our team developed an innovative general purpose analog circuit architecture for implementing neural networks, departing from traditional digital GPU-based approaches. By leveraging analog computing principles, we achieved faster processing speeds and significantly better power efficiency while maintaining accuracy, demonstrating an alternative path for neural network hardware as Moore’s Law continues to deliver diminishing returns. We will be demonstrating this work by allowing students to draw digits on a piece of paper and process the data with our custom PCB’s to display a prediction of the digit they have written.

Team members: Samuel Parent, Hydar Zartash, Shaan Suthar, Amr El Hossan, Anthony Turco

Capstone advisor: Ameer Abdelhadi

Team #21: CardGPT-4

The BlackJack ProBot leverages machine learning and computer vision to recognize the suits and values of multiple playing cards in real time, providing players with optimal decision-making advice based on blackjack rules. Additionally, the robotic arm executes actions such as moving betting chips and signaling hand gestures to enhance the player’s gaming.

Team members: Erik D’Alesio, Ruichen Liu, Le Chang, Ammad Ghauri

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #21: Fit Plants

Fit-Plants aims to bring a modern, smart and cost-efficient plant monitoring system to homeowners! Probes would utilize several onboard sensors to capture and relay a plethora of vitals about a user’s plant(s) to their devices, to keep them informed and guide them on what it needs to thrive.

Team members: Cayden Ferguson, Pragya Khanna, Samer Rafidi, Hamza Saeed

Capstone advisor: Chih-Hung Chen

Team #22

SignWave is a wearable device used to translate American Sign Language (ASL) gestures into real-time speech. The glove tracks the movement and position of each finger on the hand, and sends the data to a translation model which makes predictions of what word is being signed by the user based on the positional data of the fingers being fetched from the on-board sensors.

Team members: Adiyan Ahmed, Ian Chen, Ayan Usmani, Denis Sprutov, Keith Maclean

Capstone advisor: Chih-Hung Chen

Team #22: SightSync

AI-powered glasses that transcribe conversations and display captions directly in the user’s field of vision to remove communication barriers for the hearing impaired.

Team members: Laura Giron, Ahmed Alduuyher, Hashim Ali, Hira Yousuf, Makeish Raveendran

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #23: Dirty Mike & The Boys

Device that prevents pressure ulcers by changing the patient’s body weight distribution with airbags. Airbags are inflated/deflated based on pressure sensor readings in the “high risk” areas of development.

Team members: Brendan Hunter, Steve Vandervelde, Mikhail Ostrovsky, Taeil Kim

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #23: Chisel Devs

Throughout this project, we experience the full set of challenges involved in the design and validation of a fully parametrizable super-scalar out-of-order RISC-V core. Central to our project is the ability to identify the bottlenecks of a sophisticated processor architecture, address them, and validate their correctness while maintaining a design that is intuitive and aggressively configurable.

Team members: Hakam Atassi, Alisher Rakhimov, Hasan Salman

Capstone advisor: Shahram Shirani

Team #24: Lumiwatch

Ultraviolet (UV) radiation poses significant risks to sensitive individuals, especially when combined with high relative humidity. This project aims to develop a wearable UV-level and humidity monitor that provides real-time feedback, alerts, and actionable recommendations. The device will address the interaction between UV radiation and humidity, helping users take preventative measures against UV-related damage.

Team members: Yunhua Tang, Yuanhao Gu, Zohaib Vehra

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #24: Stock Sense

Our project aims to develop an application that uses language learning models and generative AI to provide accurate and new information in a summarized and beginner friendly manner for stocks. This score will assist users by summarizing relevant information from news articles, public opinions, and financial reports.

Team members: Ibrahim Atiq, Ahmed Abdelhalim, Adam Elmongy, Muthana Alhabian, Ahmed Sabrah

Capstone advisor: Chih-Hung Chen

Team #25: The EMerGers

This project involves the use of EMG signals to control a robotic am that will be used in laboratories to help researchers and scientists handling hazardous materials.

Team members: TireniOluwa Ogunmoyero, Olorunloluwa Oguntunde, Siddarth Kachu, Peter Kahalf

Capstone advisor: Chih-Hung Chen, Shahram Shirani

Team #25:  JSRU

Our project allows for users to unlock their doors using facial recognition and notify them if there is an unknown face at their door through an application. Users should also be able to see a live video of what the raspberry pi is seeing on their phones.

Team members: Joshua Suh, Sava Manojlovic, Robbert Wilfred, Udaybir Bajwa

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #26: Magic Mirror (MAMI)

The goal of this project is to create an intelligent beauty mirror that can advise users on skincare and makeup at a professional level. This product is designed to meet the demands of professional makeup artists, beauty aficionados, and regular makeup users who require high-precision makeup and skin care. The smart mirror assists users in tracking and improving the outcomes of their skincare and cosmetic routines by storing data and doing real-time skin analysis. With a 10-inch 1080p touch screen, high-resolution (1080p) camera, and distance sensors, the device will activate automatically as the user gets closer and offer customized cosmetic recommendations using a touchscreen interface. Regarding technological platforms, we will analyze skin and prescribe cosmetics using integrated AI chips or cloud-based processing
for picture recognition.

Team members: Zhitong Zhang, Tianxiong Wu Tyler, Hanglu Li Kaylee, Kyle Yoshimochi

Capstone advisors: Xun Li, Ameer Abdelhadi

Team #26: GND Inc.

An autonomous drone system designed to detect, track, and intercept unauthorized drones using cameras and wireless communication. The system coordinates between drones to ensure effective defense in real time.

Team members: CJ Nour, Gabriel Fastro, Ivan Markovic, Teodor Markovic

Capstone advisor: Chih-Hung Chen

Team #27: House of CCARDs

P.H.A.S.E is a wearable haptic glove that creates an immersive VR experience through tactile and force feedback. By providing the sensation of touch and resistance with the virtual objects, it establishes a tangible connection between the user and the virtual world.

Team members: Claire Kim, Amelie Ung, Catherine Zheng, Rainleigh Clemente, Yuan Ding

Capstone advisor: Chih-Hung Chen, Shahram Shirani

Team #28: Groovy

We’re developing an AI-powered DJ that uses advanced machine learning to analyze and mix music tracks in real-time, creating seamless, dynamic playlists tailored to any mood or setting. Our goal is to blend technology and creativity to redefine how music is experienced.

Team members: Christopher Jiang, Daniel Loi, Tamer Rafidi, Mazen Maamon, Ahmed Elbarbary

Capstone advisor: James Chen