Innovative Web Solutions
Explore my collection of web applications built with modern technologies. Each project demonstrates problem-solving skills and technical expertise.
- Docker
- Git
- Github
- CSS3
- Framer Motion
- Front-end
- HTML5
- JavaScript
- Next.js
- React Hook Form
- React Icons
- React.js
- React Testing Library
- React Router DOM
- Tailwind CSS
- TypeScript
- useForm
- Artificial Inteligence
- ChromaDB
- Kagglehub
- LangChain
- Matplotlib
- Numpy
- OpenCV
- Pandas
- Pillow
- Python
- ScikitLearn
- Streamlit
- TensorFlow
Featured Projects
Below you will find my most significant web development projects. Click on any project to learn more.
- Front-end
- Docker
- Git
- Github
- Next.js
- React.js
- Tailwind CSS
- TypeScript
- Front-end
- Docker
- Framer Motion
- Git
- Github
- Next.js
- React Icons
- React.js
- React Testing Library
- Tailwind CSS
- TypeScript
- Front-end
- Docker
- Framer Motion
- Git
- Github
- Next.js
- React Icons
- React.js
- Tailwind CSS
- TypeScript
- Artificial Inteligence
- Matplotlib
- Python
- TensorFlow
- Artificial Inteligence
- Git
- Github
- Kagglehub
- Matplotlib
- Numpy
- OpenCV
- Python
- ScikitLearn
- TensorFlow
- Artificial Inteligence
- Git
- Github
- Numpy
- Pillow
- Python
- Artificial Inteligence
- Python
- ScikitLearn
- Matplotlib
- Artificial Inteligence
- Git
- Github
- Matplotlib
- Numpy
- Pandas
- Python
- OpenCV
- Artificial Inteligence
- Python
- Git
- ChromaDB
- Github
- Streamlit
- LangChain
- Artificial Inteligence
- Git
- Github
- Matplotlib
- Numpy
- Python
- ScikitLearn
- TensorFlow
- Artificial Inteligence
- Git
- Github
- Python
BR Architects
Discover the innovative world of BR Architects – blending creativity, sustainability, and modern design. Explore our portfolio of architectural masterpieces and learn how we shape spaces that inspire.
Areas
Hard Skills
Interior Design
Explore elegant and modern interior design solutions tailored to your style. Browse our portfolio, discover inspiration, and transform your space with professional design ideas.
Areas
Hard Skills
Thin Crust Pizza
Discover the art of thin crust pizza — crispy, flavorful, and made with fresh ingredients. Explore recipes, tips, and inspiration for crafting the perfect thin crust pizza at home.
Areas
Hard Skills
Cats and Dogs Classifier
Implementation of two models using a convolutional neural network (CNN) to classify images into two distinct classes (dogs and cats). Transfer learning is performed between the first and second models to improve results, which are measured using performance metrics to assess training progress.
Areas
Hard Skills
CelebrityFaceRecognition
Celebrity face recognition system built using deep learning. It leverages a Convolutional Neural Network to identify individuals from a dataset of celebrity images. The system first pre-processes the image data, trains the model, and then uses a Haar Cascade classifier to detect faces in new images.
Areas
Hard Skills
Image Dimensionality Reduction
A Python project for converting RGB images to grayscale and binary formats. Uses luminance calculation for grayscale conversion and thresholding for binary conversion. Includes functions to save the processed images. Built with NumPy and PIL (Python Imaging Library).
Areas
Hard Skills
Iris Classifier
This project demonstrates the use of a Multi-layer Perceptron (MLP) classifier on the Iris dataset. It includes data preprocessing, hyperparameter tuning with GridSearchCV, model evaluation using metrics like accuracy, precision, recall, F-score, and specificity, and visualization of ROC curves for multi-class classification.
Areas
Hard Skills
Object Detection With YOLO
This project demonstrates how to train a YOLOv8 object detection model to detect various types of fruits. The process involves loading a pre-trained YOLOv8 model, training it on a custom dataset of fruits, evaluating its performance, and running inference on sample images.
Areas
Hard Skills
OmniDoc
A RAG chatbot built with LangChain, ChromaDB, and LLM of Groq that processes PDF documents for context-aware question answering. Features document ingestion, text splitting, vector storage, and conversational memory with a Streamlit web interface.
Areas
Hard Skills
Recommendation System
This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.
Areas
Hard Skills
Virtual Assistant
A simple command-line voice assistant built with Python that listens for spoken commands. It can perform tasks like searching YouTube and Wikipedia, playing local music files, telling jokes, and getting the current time, using Google's Speech-to-Text and Text-to-Speech APIs for interaction.