Projects
C#
Unity
TensorFlow
React
Flask
SVM
CNN
Georgetown University H2AI Hackathon: 1st Place Grand Prize & Patient Safety Award
- Architected VR-based medical assessment tool for Parkinson's patients, integrating Unity with
TensorFlow ML models to process four concurrent biometric streams for real-time symptom
quantification with 92% clinical accuracy.
- Designed event-driven architecture for doctor-patient remote monitoring, connecting VR sensors
to Python backend via WebSocket protocol to enable sub-100ms latency for medical data
visualization.
Python
React
GPT-4 API
PyQT5
OpenCV
C++
Embedded Systems
PatriotHacks 2024: Triple Winner (Patriot Favorite, Most Likely to be a Startup, Best
Cyberpunk Theme)
- Engineered dual-purpose cleanup robot and file organizer, combining autonomous waste detection
with LLM-powered digital file management to achieve 95% classification accuracy through custom
prompt engineering.
- Implemented hardware abstraction layer for physical robot navigation, bridging Python computer
vision models with C++ microcontroller firmware for real-time object detection on embedded
systems.
Python
OpenCV
AWS IoT
Mediapipe
C++
Raspberry Pi
IoT Systems
HackOverflow 2024: Best Robot Hack Winner
- Built IoT child safety monitoring robot using Raspberry Pi computer vision and Arduino motor
control, tracking toddler movements in real-time to detect dangerous situations and send instant
alerts.
- Architected home safety system integrating OpenCV/Mediapipe pose detection with AWS IoT cloud
alerts and ngrok live streaming, enabling parents to monitor and receive notifications remotely.
Java
Python
TensorFlow
ResNet
Computer Vision
PyAudio
ESP32
PatriotHacks 2023: Best AI-Powered Hack Winner
- Developed accessibility navigation aid for visually impaired users, using CNN-ViT fusion
architecture with ResNet-18 backbone to achieve 92% obstacle detection accuracy at 127ms
inference time.
- Engineered spatial audio guidance system for blind navigation, integrating PyAudio 3D sound
synthesis with custom haptic feedback to enable 96% successful navigation through complex
environments.
Python
TensorFlow
Hugging Face
3D Mapping
Depth Estimation
A* Algorithm
- Built indoor navigation system for visually impaired users, converting 2D images to 3D point
clouds using Hugging Face transformers and solving camera calibration challenges for real-time
environmental mapping.
- Implemented safe path planning for obstacle avoidance, using custom A* algorithm on projected 2D
occupancy grids to enable dynamic navigation with sub-5 second route computation.