Can a machine distinguish between a honey bee and a bumble bee? Being able to identify bee species from images, while challenging, would allow researchers to more quickly and effectively collect field data. In this Project, I used Python's image library Pillow to load and manipulate image data. I used transformations of images and built them into a pipeline. Includes data visualization with matplotlib.
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This project is the second part of a series of projects that walk through working with image data, building classifiers using traditional techniques, and leveraging the power of deep learning for computer vision. I built a model to identify honey bees and bumble bees given an image of these insects.
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This project is the third part of a series of projects that walk through working with image data, building classifiers using traditional techniques, and leveraging the power of deep learning for computer vision.In this project, I built a simple deep learning model that can automatically detect honey bees and bumble bees, then load a pre-trained model for evaluation. Made with keras, scikit-learn, scikit-image, and numpy.
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We'll be using computer vision to answer the internet-popular question: is it a sloth or a pain au chocolat? This is a binary image classification task. In this project, I learnt about loading custom datasets into PyTorch and using transfer learning to perform an image processing task using a mostly-pretrained model, which I fine-tuned.
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Neural Style Transfer is a technique that blends the content of one image with the artistic style of another using deep learning algorithms. It leverages CNNs to extract and recombine the features of both images, creating a unique artwork that maintains the structure of the original content while adopting the visual style of the other.
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Imagine transforming the fashion and retail industry with advanced AI: my project focuses on developing a smart garment classification system. Using machine learning and image classification, I aim to enhance the online shopping experience by making it easier for consumers to find the perfect outfit.
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Created using React and Express, enabling users to generate images with DALL-E AI and share them within the community.
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A react blog hosted on netlify. Uses Axios for API Requests, along with custom hooks!
View Repository, along with netlify deployment.
A drawing board, made in conjunction with the Odin Project.
View website here, draw by hovering with cursor. View repo.
Still in the works. Includes the homepage, orders, and checkout section.
View clone here. Click me to view repository.
A rock paper scissors game, whoever reaches 5 points first wins! Made with: Javascript, HTML, and CSS
Test it out here!
I made this to practice my Javascript DOM skills. Press the keys on your keyboard's second row to try :]
Test it out here, external keyboard required.
Made using MySQL & Python Connectivity. It has registrations for users & employees, loan transactions, deposits, captcha verifications to access admin side, etc.
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The FAC Bot provides the following on selection: Nearby hospitals and emergency contact numbers, First Aid instructions for emergencies, CPR related queries.
View Repository.AI Development Intern
June 2024 - Present (1 month)
Dubai, UAE (Hybrid)
Intel Student Ambassador
May 2024 - Present (2 months)
Canada
Software Developer
October 2023 - Present (8 months)
Canada (Hybrid)
AI/ML/DA Intern
May 2024 - June 2024
Remote
i'm an international student in canada. i was raised in dubai for most of my life, and i've begun a new journey here in alberta in 2023. i focused on web development and python during my high-school years, and i'm currently diving into Machine learning & Data Science! always looking to learn new things.
