I am a dedicated Mechatronics and Artificial Intelligence enthusiast with expertise in embedded systems, computer vision, machine learning, NLP, data science, LLMs, and chatbots.
I am currently pursuing a Bachelor of Engineering in Mechatronics Engineering at the Federal University of Technology, Minna, Niger State. My passion lies in integrating mechatronics with artificial intelligence to create innovative solutions.
- Programming Languages: C++, Python, JavaScript.
- Databases: MySQL
- Tools & Frameworks: TensorFlow, PyTorch, OpenCV, MediaPipe, scikit-learn, NLTK, LangChain, Flask, Uvicorn, FastAPI, Seaborn, Matplotlib, Pandas, pygame.
- Areas of Expertise: Embedded Systems, Computer Vision, Machine Learning, NLP, Data Science, LLMs, Chatbots, Prompt Engineering, Backend Development
- Description: Machine learning project focused on recognizing handwritten digits real-time using neural networks.
- Technologies Used: OpenCV, Tensorflow, Pygame, Matplotlib, numpy.
- Key Features: Building a Digit Recognition Model with MNIST Dataset Using TensorFlow, Real-Time Digit Recognition with OpenCV and Interactive Digit Recognition Application.
- Link to GitHub Repository: Repository
- Demo 1: YouTube.
- Demo 2: YouTube.
- Website: aibard.code.blog.
- Description: A poetry generator using FastAPI and the GoogleAI. By leveraging Large Language Models (LLMs).End-To-End project.
- Technologies Used: FastAPI, Uvicorn, Google Generative AI, LangChain, Python, HTML5, CSS3, JavaScript (ES6).
- Key Features: poetry generato leveraging Large Language Models (LLMs).
- Link to GitHub Repository: Repository.
- Demo: YouTube.
- Website: aibard.code.blog.
- Description: A Pong arcade game that uses hand tracking to control the paddle. This project combines the power of Python with libraries like Pygame and OpenCV to create an interactive and engaging game.
- Technologies Used: OpenCV, MediaPipe, Pygame.
- Key Features: Pygame, OpenCV and MediaPipe to create an interactive and engaging game.
- Link to GitHub Repository: Repository.
- Demo: YouTube.
- Website: aibard.code.blog.
- Description: The Movie Recommendation System provides personalized movie suggestions based on user input and preferences. By combining web scraping for data collection, natural language processing (NLP), machine learning models, Flask and FastAPI for backend services, and a dynamic frontend, this system delivers a robust and engaging user experience.
- Technologies Used: Flask, FastAPI, Pandas, numpy, nltk, sklearn, Python, BeautifulSoup, Html5, CSS3, JavaScript (ES6), Bootstrap.
- Key Features: Movie Recommendation.
- Link to GitHub Repository: Repository.
- Demo: YouTube.
- Website: aibard.code.blog.
- Description: Nigerian House Price Prediction is a machine learning web application designed to predict house prices in Nigeria based on various features such as the number of bedrooms, bathrooms, square footage, and more. Using FastAPI for the web interface and XGBoost for the prediction model, the app allows users to input house details and get an estimated price in real-time. The project provides an intuitive user experience, making it easy to explore trends in house prices and make informed decisions.
- Technologies Used: FastAPI, Python, XGBoost, scikit-learn, Pandas, NumPy, Uvicorn, Jinja2, HTML/CSS, Matplotlib, Seaborn.
- Key Features: House Price Prediction.
- Link to GitHub Repository: Repository.
- Demo: YouTube.
- Website: aibard.code.blog.
Feel free to explore the projects and learn more about the work I’ve done. If you have any questions or would like to collaborate, don’t hesitate to reach out!
- website: (https://aibard.code.blog/)
- LinkedIn: (https://www.linkedin.com/in/george-alainengiya-5b44b5251)
- GitHub: (https://github.com/aiBard101)
- X: (https://x.com/aiBard001?t=_eaBwoB8epEwIrGJSsBr0g&s=08)
- YouTube: (https://youtube.com/@aibard101?si=GgF--gFp8vRmDGl2)
- Email: (aibard.annonymousasquare@gmail.com)
Thank you for visiting my portfolio!