PROJECTS
Trade War Index Live Tracker
Trade War Index is a macroeconomic analytics engine built to quantify cross-border trade friction across $760B in Canada–U.S. bilateral commerce. The platform ingests trade data from the Government of Canada, USTR, and Statistics Canada, deploying automated parsers to extract 8-to-10-digit HS/HTS tariff schedules, statutory rate revisions, and bilateral merchandise flows. From these inputs, the system computes a composite geopolitical risk index and derives supply-chain cost pass-through alongside net labor displacement using non-linear, saturating elasticity algorithms. The project demonstrates core competencies in data pipeline engineering, custom parser construction, and quantitative econometric modeling.
Viket Marketplace App
Viket Marketplace is a cross-platform service marketplace developed using Flutter and Dart, with Firebase Authentication, Cloud Firestore, and Firebase Storage powering its backend. The app connects local customers with nearby service providers, allowing users to browse service categories, receive location-based recommendations, and manage their profiles and addresses. Providers can create business profiles, define service areas, upload portfolio images, and submit verification documents. By integrating Google Maps, geolocation, image processing, and Google ML Kit OCR, the platform supports location-aware discovery and automated credential validation, demonstrating skills in mobile development, cloud services, and marketplace design.
HandiPark
HandiPark is an embedded systems project developed using C, Assembly, and a Makefile on an STM32 NUCLEO board. Collaborating with two teammates, we designed a system to assist with parking accessibility, leveraging low-level programming and hardware integration to create an efficient solution.
AI Vision
AI Vision is a computer vision project built using Python and OpenCV, leveraging a pre-trained deep learning model (SSD MobileNet) and the COCO dataset to detect and classify real-world objects in video footage. By integrating OpenCV’s DNN module, the system performs real-time object detection with confidence thresholds, drawing labeled bounding boxes on live or recorded video. This project highlights practical applications of AI in perception systems and demonstrates proficiency in computer vision, deep learning, and real-time processing.
Autonomous Robot
Autonomous Robotics (FTC) is a competition-driven project developed through the FIRST Tech Challenge, where I led a team of over forty members as both President and Code Lead. I engineered the robot’s autonomous and teleoperated systems using Java, OpenCV, and TensorFlow, enabling it to navigate complex environments, identify game elements, and make strategic decisions in real time. This project showcases my leadership in managing a large technical team and my ability to integrate computer vision and AI into robotics under competition pressure.
Grading Software
Student Grading Software is a Java-based application designed to streamline assignment grading for teachers. Built using object-oriented programming and recursion, the system features user account creation, grade input, and file-based data management through .txt files using FileWriter and PrintWriter. I led the design, coding, and unit testing phases, developing modular classes like Main.java, TeacherClass.java, and Files.java to ensure maintainability and usability in real-world classroom settings.
Tank Wars
Tank Wars is a dynamic, object-oriented video game where players navigate tanks across multiple levels while dodging enemy fire and aiming for victory. Built using Java, the game features a GUI-based interface, customizable tanks, varied ammo types, and enemy AI controlled through the Levels subclass. I developed the game mechanics, graphics handling, and level logic, focusing on creating an engaging user experience and scalable game structure.