My Recent Works
RewardBot
javascript
node.js
mongodb
express.js
The Reward Bot for Canvas is a web application designed to help students stay motivated by rewarding them for completing assignments on time. With the rise of social media providing instant dopamine, many students procrastinate, prioritizing short-term gratification over productivity. This system addresses the issue by integrating the Canvas API to track assignments, offering features like a to-do list, deadline graphs, and a browser extension (built on Task for Canvas) that displays upcoming due dates. To incentivize engagement, students receive random rewards for completing tasks, such as custom profile icons, discount coupons, and even bonus points for early submissions. By shifting dopamine rewards from social media to academic achievement, this system encourages better study habits and reduces distractions, helping students become more productive.
Stylized Rendering/Shading - 3D Graphics Final Project
python
Course Project for Computer Graphics (2024) at Virginia Tech. This project explores stylized rendering techniques by applying a painting effect with brush strokes and integrating screen-space texture mapping to create a unique shading style. The painting effect simulates brush strokes by tracking painted pixels and applying randomized strokes until the surface is covered. To enhance realism, stroke size and direction will be adjusted based on depth and shading. Instead of traditional UV mapping, screen-space texture mapping will be used, ensuring that textures appear fixed regardless of object rotation. By combining these two techniques, the final rendering will achieve a visually compelling painterly effect with consistent texture placement.
Split Money
typescript
next.js
Split Money is a web application designed to simplify expense management among friends, family, or colleagues. It features a user-friendly interface that allows users to track and split shared expenses easily, ensuring transparency and fairness. Users can record and categorize expenses, automatically split costs based on predefined ratios or equal shares, and manage members within expense groups.
Interactive Data Visualization Tool
javascript
node.js
mongodb
express.js
Course Project for Intro to GUI (2023) at Virginia Tech. The project is a dynamic data visualization and management tool designed to streamline dataset handling through an intuitive interface. It features an interactive editor that automatically updates visual representations, including bar charts and scatter plots, in real time. Users can select, edit, and manipulate data points through brushing and linking interactions across multiple views. The tool enforces structured data constraints, ensuring valid inputs while dynamically adjusting visualization scaling for large datasets. A robust file management system allows users to create, load, save, and overwrite datasets in a MongoDB database. Additionally, advanced editing functionalities such as cut, copy, paste, and append enable efficient dataset modifications. With support for pagination and dataset constraints, this tool optimizes data exploration, making complex dataset analysis more accessible and efficient.
Guardian Tales
python
GuardianTales is a storytelling platform designed to help guardians stay connected with their children through personalized audio storybooks. Inspired by the challenge of maintaining strong family bonds in a fast-paced world, GuardianTales allows users to create customized story narrations using their own voice. By uploading a video of themselves speaking, our platform processes their voice and synchronizes it with the story text, offering children an engaging and immersive storytelling experience. Built using Python with Streamlit and a machine learning model for voice learning and text-to-speech (TTS) generation, GuardianTales aims to make storytelling more personal and comforting. While the website is not yet fully deployed due to time constraints in uploading the ML model and user data to the cloud, we have successfully demonstrated a working prototype on a local machine. Throughout development, we tackled challenges such as precise voice synchronization and optimizing the user interface for seamless interaction.