8000 anaskanafani (Anas Kanafani) · GitHub
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anaskanafani/README.md

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Hi 👋, I'm Anas:

🔭 I’m currently working on: AI-driven software projects, blending cutting-edge machine learning with practical applications.

🔗 I’m looking to collaborate on: Innovative AI and software engineering projects that make a real-world impact.

🤝 I’m looking for help with: Exploring new AI techniques and integrating them into mobile and web development.

🌱 I’m currently learning: Advanced deep learning models and their applications in dynamic environments.

💬 Ask me about: Software development, AI integration, and creating scalable web and mobile applications.

📧 Want to connect? Email me at anas.kanafani10@outlook.com

🌐 Socials:

LinkedIn

💻 Tech Stack:

Python TensorFlow Keras scikit-learn Pandas NumPy Matplotlib FastAPI

React Native Firebase

React Next JS TypeScript JavaScript TailwindCSS

C++ Heroku Vercel Zod MySQL Supabase Figma Java

🧠 AI/ML Open Source Projects:

📊 GitHub Stats:


✍️ Random Dev Quote

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  1. Agricultural-Disease-Detection Agricultural-Disease-Detection Public

    This Convolutional Neural Network (CNN) model is designed to accurately classify tomato leaf diseases, ensuring healthier crops and better yields for farmers. 🚜🌿

    Jupyter Notebook

  2. Market-Segmentation-Clustering Market-Segmentation-Clustering Public

    This project utilizes Python, scikit-learn, and Streamlit to build a clustering model that segments customers based on their data. Through PCA for dimensionality reduction and KMeans for clustering…

    Jupyter Notebook

  3. image-to-story-to-Speech image-to-story-to-Speech Public

    🎉 Turn images into stories and speech! This repo features an AI pipeline that transforms images into captions, crafts poetic stories, and converts them into lifelike speech.

    Jupyter Notebook

  4. customer-churn customer-churn Public

    The project consists of two main machine learning tasks: Churn Prediction (classification) and Total Charges Prediction (regression). The implementation involves a combination of data collection, m…

    Jupyter Notebook

  5. diabetes-detection diabetes-detection Public

    This project aims to develop and evaluate machine learning models for binary classifying diabetes based on health indicators. The dataset used in this project is the “Diabetes Binary Health Indicat…

    Jupyter Notebook

  6. anaskanafani anaskanafani Public

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