My Projects

SALIENCYSLIDER

Web application that allows users to upload images and explore how a CNN classifies images based on specific regions, using a saliency slider for feature visibility.

ASA DATAFEST

Data Analysis presentation using CourseKata data for annual DataFest competition at the University of Florida; awarded best overall.

DINODETECT

This project involved creating a Discord Bot that uses Sentiment Analysis to detect cheating, sentiment, and toxicity in server communications.

ADAPTREE

AI-powered educational platform that creates personalized learning pathways based on user's background. It secured finalist standing at the 2023 AI Days Hackathon.

REGRESSIVE REASONING

A machine learning project focused on classifying brand logos with a 95% validation accuracy, utilizing tensorflow and EfficientNet on UF's HiPerGator supercomputer.

MUS MUSCULUS NEURONAL ANALYSIS

This project involved leading gene analysis of house mouse in R, using machine learning algorithms to decode neuronal network patterns from RNA-seq datasets.

BUDGET BUDDY

Flutter based app developed to assist in financial planning, featuring dynamic graphs and sorting algorithm analyses for efficient budget management.

JASON'S JOURNEY

A dungeon crawler python game inspired by professor Jason Harrington's love for mathematics developed with pygame for MAD2502.

ROOM AUTOMATION

A software solution for optimizing room assignments at UF, employing C++ and Qualtrics API to streamline the process for over 200 Resident Assistants.

Published Papers (SOON)

Neuro Symbolic AI: Unveiling the Black Box and Paving the Road towards Artificial General Intelligence.

This paper will provide an overview of Neuro Symbolic AI (NSAI), a fusion of neural networks and symbolic reasoning aimed at overcoming the explainability challenges in machine learning. It will delve into the current state-of-the-art NSAI models, highlighting their computational power and logical clarity. The report will also speculate on NSAI's potential role in advancing Artificial General Intelligence (AGI), offering insights from leading researchers in the field.

Artificial Brain: Replicating the Human Consciousness through Neuro Symbolic AI

This paper will seek to examine the feasibility of using Neuro Symbolic AI (NSAI) in creating an artificial brain that could emulate human consciousness, focusing on its applications in drug testing and the resulting ethical considerations. It analyzes the current state of NSAI, its role in modeling cognitive processes, and the philosophical and ethical aspects of mimicking consciousness, combining perspectives from neuroscience, AI, and philosophy to evaluate the feasibility and impact of conscious AI.