For this deepfake detection project, I designed a convolutional neural network (CNN) model to distinguish between real and altered media. Using a dataset from kaggle and starting with data preprocessing, I used OpenCV to normalize and resize images for consistency in training. Then, I built a CNN with layers optimized for image classification to detect fake faces with high accuracy.

This project recreates the Fruit Ninja experience, where players slice moving circles representing fruits using hand gestures captured by OpenCV and MediaPipe. Built with Python, OpenCV, MediaPipe, and Pygame, it lets users interact with the game environment through real-time gesture detection!

RepAIr Skin is an iOS app designed, in swift, to boost users' confidence by detecting and analyzing facial blemishes. Using a custom object detection model, it identifies pimples and spots on the face, providing personalized skincare recommendations based on a user survey. Built with Swift and SwiftData, the app also includes an OpenAI-powered chatbot for real-time skincare advice, supporting users on their skincare journey.

Connect with like-minded individuals who are passionate about outdoor activities and eager to embrace an active lifestyle. Our platform lets you join or create workshops, meet new friends through these events, and earn points for exciting prizes! Developed using python framework, Django.

My online portfolio designed using HTML, CSS, and JavaScript. Graphics were created using Figma.

A music playlist creator, created with Java, that allows users to build and save playlists, add songs, and rank them on a scale of one to ten. This tool stores user rankings to help track song preferences over time. Designed for music enthusiasts, the app offers a convenient way to organize and rate songs. I chose this project due to my personal love for music and the desire to better manage the songs I enjoy!