Projects

A selection of my personal projects and experiments.
See my Github or get in touch!

• Detecting Fake News using Machine Learning Models

  July 2024

  

  Developed and implemented machine learning models, (Support Vector Machines (SVM) and Logistic Regression), to detect fake news utilizing the ISOT dataset.

  Preprocessed and analyzed data using Python libraries such as Pandas, NumPy, and scikit-learn, achieving an accuracy rate of 99.3% with SVM. Conducted model evaluation through performance metrics including accuracy, precision, recall, and F1 score.

  Employed Natural Language Processing (NLP) techniques for feature extraction, optimizing model performance by leveraging Term Frequency-Inverse Document Frequency (TF-IDF) scoring.

  Open

• Social Interaction Lab

  December 2022

  

  Our research focuses on understanding human social interactions. We explore how individuals think, feel, and behave in social contexts and how their experiences are influenced by their interaction partners.

  Our studies investigate changes in experiences and behaviors within single interactions and across repeated interactions with the same partner.

  We use diverse methodologies, including experiments, behavioral observation, psychophysiology, and experience sampling, to study social interactions both in the lab and in naturalistic settings.

  Additionally, we examine physiological synchrony in interactions, investigating its relationship with behaviors, subjective experiences, and interpersonal accuracy.

  Open

• Stock Market Chrome Extension

  September 2024

  

  If you want to check the stock market but dont want to open a new tab or search on your phone,

  you can use this extension to check. Code..

  Open

Other projects

• Columbia Analytica

  July 2024

  Aim to improve transparency of data between the students and the administration of Columbia University.

  Open View code

• Soul Scribe, Hackathon Project

  January 2024

  Aimed at reducing people's feelings of isolation and the stigma surrounding mental health. Often, individuals may feel compelled to hide their emotions, leading to increased loneliness and difficulty in seeking support.

  SoulScribe is a platform where users can anonymously share their feelings with their community.

  Open View code

• HTTP and Server

  November 2023

  Using the socket API in C, I developed a HTTP server and HTTP client from scratch

  Open

• Peng Lab

  August 2023

  Leveraged OpenCV and MATLAB to develop Convolutional Neural Networks (CNNs). Our team created an audio-based convolutional neural network to detect sleep patterns.

  This predictive model identified whether rats were in REM, awake, or light sleep.

  I also worked on developing efficient pipelines for the project titled: Reactivation of Cells in Mice with Engram-specific Deletion of the de novo DNA Methyltransferase Dnmt3a.”**

  Open Read

• Medical Instruments Sterilization

  June 2022

  Awarded the Engineering Award

  Open Read