Highly motivated Artificial Intelligence Engineer and fourth-year Computer Science student
with hands-on experience in deep learning, computer vision, and NLP.
Passionate about building real-world AI solutions, optimizing ML pipelines, and deploying scalable models.
With a strong foundation in Python, TensorFlow, PyTorch, and modern AI frameworks,
I thrive on solving complex problems, learning new technologies, and contributing to impactful, production-ready projects.
Popular repositories Loading
-
Real-Time-Face-Emotion-Detection-App
Real-Time-Face-Emotion-Detection-App PublicA PyQt5-based desktop application that detects and analyzes human emotions from images, live webcam feed, or video files using deep learning. The app features a modern dark theme interface with cus…
Python 1
-
brain_tumor_classification
brain_tumor_classification PublicLeveraging Convolutional Neural Networks (CNNs) and Transfer Learning to classify brain MRI images into four categories: Glioma, Meningioma, Pituitary Tumor, and No Tumor. This project achieves up …
Jupyter Notebook 1
-
CXR_image_classification
CXR_image_classification PublicLeveraging Convolutional Neural Networks (CNNs) to classify chest X-ray images into four categories: COVID-19, Normal, Pneumonia, and Tuberculosis. This project achieves 95.14% accuracy, supporting…
Jupyter Notebook 1
-
AI-Generated-vs-Real-Image-Detection
AI-Generated-vs-Real-Image-Detection PublicDistinguishing real photographs from AI-generated images using state-of-the-art deep learning architectures. This project implements both custom Vision Transformers and transfer learning with ResNe…
Jupyter Notebook 1
-
If the problem persists, check the GitHub status page or contact support.