Projects

I know, I know, it’s not the Netflix catalog of projects yet, but hey, greatness takes time! Most of these are still “work-in-progress” (aka me battling bugs at 2 AM), but I promise I’ll blow your mind soon (hopefully). Stick around; we’re just getting started!

2024 - 2025 Ongoing

Real Time Threat Detection System

Preview Github

Python

Yolo v11

Deep Learning

EfficientNetV2

Angular

The Capstone Project I'm developing in my College focuses on Real-Time threat detection using YOLO v11 and EfficientNetV2. This deep learning project aims to identify potential security risks through video analysis and identify threats in X-ray scans, with a specific focus on detecting weapons. Currently in development, this system will integrate with existing security infrastructure to provide automated alerts and monitoring capabilities (it's a long shot i know). To provide a comprehensive solution to the problem we have also designed an adaptive frontend that integrates these two models together.

2025 Ongoing

Automated Dicom Slice Analyzer

Github

Convolutional Neural Networks

VIsion Language Models

Vision Transformers

Upon experimenting various CNN models like InceptionResnetV2 and Vision Transformers, optimizing them to identify anomalies in Dicom Slices and then deploying a Vision Language Model to describe what the anomaly is and in which slice it is presented. This project aims to assist radiologists in identifying and diagnosing anomalies more efficiently, reducing the time required for manual analysis and improving the accuracy of diagnoses. The final developed system will also provide a user-friendly interface for visualizing the results and integrating with existing medical imaging systems (hopefully).

2025 Completed

API Demonstration Application

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Axios

Javascript

API Development

Github Copilot

Sometimes projects aren’t just about showing off skills—they’re about satisfying pure curiosity! I used this project as a hands-on experiment to finally understand client-side APIs. I was always confused about how they work, especially with async operations and client-side calls. So, I built simple projects that call three different API endpoints, which helped me see how requests, responses, and asynchronous flows all come together in real time. Big shoutout to GitHub Copilot, which totally transformed my coding game by whipping up CSS and streamlining my workflow. It’s crazy advanced and makes coding not only more efficient but also a lot more fun!

2025 Completed

Capstone Data Science

Github

Exploratory Data Analysis (EDA)

Machine Learning

Data Visualization

This capstone project, a key milestone in my data science journey, showcases my ability to address real-world challenges through data-driven solutions. Using Python and essential libraries like NumPy, Pandas, and Scikit-learn, I analyzed a complex dataset to uncover actionable insights and develop predictive models. The project highlights my skills in data wrangling, exploratory data analysis, and machine learning, while reflecting my problem-solving abilities and attention to detail. This experience deepened my expertise in applying theoretical knowledge to practical scenarios, reinforcing my passion for leveraging data science to create impactful outcomes.

2025 Ongoing

Automated Expense Tracker

Preview Linkedin

Google Forms

Google Sheets

Make.com

Open AI

My attempt at developing an automated experience by building an expense tracking system using Google Forms, Google Sheets, and Make.com. The system collects user inputs using Google forms ( I had to start somewhere ) , categorizes expenses, sends email notifications, and provides summaries through an email. I have a lot to do and this is an ongoing project. Check out the LinkedIn link for more details