🛠 Projects

Here are some of the projects I have worked on in the past. For a more up to date information on what I am working on, be sure to checkout my GitHub.

💻 NLP-based Malware Detection of PDFs

Natural Language Processing, Transformers, Python

The threat presented by malware hidden in Portable Document Formats (PDFs) is a serious issue to the average Internet user, with the ability of a PDF to execute purposefully-embedded JavaScript serving as a method of obscuring malicious scripts and data. While there are several existing Machine Learning-based models designed for PDF malware detection, the usage of transformers to statically analyze PDFs for malware has not yet been explored. Due to their attention mechanisms and ability to process data in parallel, transformers hold great potential for analyzing large quantities of data in detail without being excessively computationally demanding. By preprocessing PDFs as byte strings, generating meaningful word embeddings using one-hot encoding and variable n-grams, and feeding these results to a fine-tuned transformer model, we have produced a model that classifies a testing set of PDFs as malicious or benign with 96.67% accuracy. After evaluating the performance of our model, we can note that this is a feasible method of performing robust static analysis on PDF files. However, it is important to continue refining the current model and exploring additional methods of improving the accuracy and precision of the model on a varied dataset.

📕 Wikisafe

React.js, Flask, Solidity (Ethereum)

Wikisafe is a revolutionary new crowdsourcing web application that innovates the process of crowdsourcing information. This application leverages the Ethereum blockchain to validate contributions to crowdsourced articles and prevents vandalism to these vital resources. Additionally, Wikisafe provides several fidelity machine learning models that seek to improve the overall contributor experience through automating parts of the process such as summarization, captioning, and figure generation. Contributors can start simply by signing up for an account and begin contributing and utilizing the features. Communities are able to collectively share knowledge and improve free and accessible education globally around the world with incredible ease, security, and quality!

♻️ Recycling Elevated (Re)

React.js, Flask, PyTorch, Computer Vision

Ever finish your cup of boba and wonder, can I recycle this or not? Introducing Re, an interactive web app that lets you take a photo of your trash and tells you which bin it belongs to! To begin, register an account on the site, and start taking photos! Re tracks the number of trash items you have scanned, and it features a global leaderboard of users who scan the most trash.

✔️ RendeYou

React.js, Express.js, MongoDB

January - March 2022

github.com/bliutech/RendeYou

RendeYou is a MERN Stack full stack web application that connects users with an emphasis on immediate meetups with friends.

🫀 OrganSafe

React.js, Flask, Solidity (Ethereum)

OrganSafe is a revolutionary web application that tackles the growing health & security problem of black marketing of donated organs. The verification of organ recipients leverages the Ethereum Blockchain to provide critical security and prevent improper allocation for such a pivotal resource. Users can also register on OrganSafe with their health information and desired donation and then application's algorithms will automatically match the users based on qualifying priority for available donations. Hospitals can easily track donations of organs and easily record when recipients receive their donation.

🌈 Qwerty

React.js, JavaScript, Firebase

Qwerty is the first social website focused on connecting students with similar classes and gender identities. To get started simply input your information and our system will automatically connect you with other students. If there are no other students with similar gender identities only your classes will be considered in the matching system. Have fun, and good luck with studying!