Skip to content
View reinbugnot's full-sized avatar
💻
💻
8 followers · 3 following

Block or report reinbugnot

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
reinbugnot/README.md

HEADER IMAGE

I am deeply passionate about the anything AI and Machine Learning. Wanna build something together? Let's talk! ☕

Coding

  • 📫 How to reach me reinbugnot@gmail.com

  • 📄 Know about my experiences here!

  • 👇 Scroll down to check out my featured projects!

Connect with me:

reinelle jan (rein) bugnot rein bugnot

Languages and Tools:

arduino cplusplus figma git matlab opencv pandas photoshop python pytorch scikit_learn seaborn tensorflow

reinbugnot

Pinned Loading

  1. medical_chatbot medical_chatbot Public

    RAG-based Medical Assistant Chatbot using FAISS, deployed using Streamlit.

    Jupyter Notebook 1

  2. direct-marketing-optimization direct-marketing-optimization Public

    This case study simulates a real-world marketing scenario aimed at maximizing revenue.

    Jupyter Notebook

  3. keypoint-detection-sift keypoint-detection-sift Public

    Computer Vision • 🔍 SIFT Keypoint Localization: A robust computer vision project implementing the Scale-Invariant Feature Transform (SIFT) algorithm for accurate keypoint localization in images. #C…

    Jupyter Notebook 1 1

  4. deepfashion-classification deepfashion-classification Public

    A multi-label, multi-class classification project on the DeepFashion Dataset. We fine-tuned a SE-ResNeXt model and optimized hyper-parameters with Optuna. By employing a diffusion model to generate…

    Jupyter Notebook 2

  5. ask-your-pdf ask-your-pdf Public

    I built a simple Retrieval-Augmented Generator (RAG) system to answer multiple-choice questions based on the content of an uploaded PDF file.

    Jupyter Notebook

  6. movielens-recommender-system movielens-recommender-system Public

    Recommender System ⬩ Created a Neural Collaborative Filtering Recommender System to predict user engagement/interaction using movies from 1995 to 2020 in the MovieLens dataset.

    Jupyter Notebook 3 1