Computer Vision • Accessibility

Real-time sign language detection using Python, OpenCV, MediaPipe, C#, WebSockets, JSON, and NumPy.

Captures and interprets 21 hand landmarks to recognize basic signs and gestures.
Converts hand shapes, finger positions, and palm orientation into classifiable sign patterns.
Uses multithreading and headless execution for smooth 30-60 FPS recognition with low delay.

PythonOpenCVMediaPipeWebSockets

AI • Healthtech

AI-assisted movement tracking for knee motion analysis, wearable data, and recovery workflows.

Developed a Python movement-tracking pipeline to capture joint trajectories and abnormal knee rotation patterns.
Built a React, Node.js, and MongoDB app with real-time analytics, wearable integration, and secure authentication.
Connected athletes, trainers, and clinicians in one system for prevention and recovery support.

PythonReactNode.jsMongoDB

Analytics • Automation

Automated analysis for 10,000+ e-commerce transaction records collected from various U.S. states.

Cleaned and analyzed transaction data using Python and MongoDB.
Produced trend charts, demand patterns, and customer behavior insights while reducing manual analysis time by 35%.
Identified top-performing states and products, improving decision-making clarity by 20%.

PythonMongoDBData Analysis

Simulation • Java

Java simulation environment with real-time visualization and efficient command-based operations.

Integrated a real-time visualization interface that reduced development time by roughly 20 hours weekly.
Implemented command-based robot operations that improved retrieval efficiency by 35%.
Designed an O(1) stack representation to track and display system states without interface lag.

JavaData StructuresSimulation

Full-stack, AI, computer vision, data, and simulation projects.