You can find all dev projects I've worked & am currently working on here.

• MultidisciplinarySoftware Engineer.
• Fields of interest:
  • Geographic Information Systems
  • Frontend & Backend Dev (Cross-Platform Web & Mobile Apps)
  • Agentic AI, Geospatial AI
  • Cloud-Native Development

Web DevelopmentMobile DevelopmentAI/MLTemplatesTutorialsOther Projects

Languages	UI/UX	Frontend / Backend Dev	DevOps	Agentic AI Dev	Other tools
	Tools: Design Systems:	Web: Mobile: Backend:	Version Control: Hosting & Containerization: Testing:		DB Management: AI-Assistants:

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1. Breast-Cancer-Image-Classification-with-DenseNet121Breast-Cancer-Image-Classification-with-DenseNet121Public

   This project utilizes a sophisticated deep learning model trained to classify breast ultrasound images into three categories: benign, malignant, or normal, thus determining the presence of breast c…

   Jupyter Notebook 28 13

2. Flower-Image-Classification-with-InceptionV3Flower-Image-Classification-with-InceptionV3Public

   This repository contains a deep learning project for flower image classification using the InceptionV3 CNN architecture. The project leverages transfer learning on the InceptionV3 pre-trained model…

   Jupyter Notebook 2 1

3. Raised-Finger-Counter-With-MediaPipeRaised-Finger-Counter-With-MediaPipePublic

   This is a computer vision-based raised finger counter program that utilizes the MediaPipe library to identify hand landmarks and extract relevant information to count the number of raised fingers i…

   Python 1 1

4. Object-Detection-Using-YOLOv8Object-Detection-Using-YOLOv8Public

   This is a simple object detection program that uses the YOLO (You Only Look Once) model to detect and identify objects in a real-time webcam feed.

   Python 1

5. OneSwipeOneSwipePublic

   This is a dating web app project built using Ruby on Rails, React.js, & Azure Database for PostgreSQL. This app mimics how tinder works with a few modifications.

   JavaScript 1 1

6. Pneumonia_Detection_with_Lightweight-CNN-ModelsPneumonia_Detection_with_Lightweight-CNN-ModelsPublic

   This is a project focused on identifying the presence of pneumonia in chest X-ray images. Each image can be classified into one of three categories: Bacterial Pneumonia, Viral Pneumonia, or Normal.

   Jupyter Notebook 1 1