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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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awais-sufi/README.md

👋 Hi, I'm Awais Ali

Software Engineer · Full-Stack Developer · AI/ML Enthusiast

I build modern web & mobile applications and enjoy exploring AI, Machine Learning, and open source.

🚀 Full-Stack Development
🤖 AI & Machine Learning
📱 Web & Mobile Applications
🌍 Open Source & GitHub

🛠️ Tech Stack

Frontend: React · Next.js · React Native · TypeScript · JavaScript Backend: Node.js · NestJS · Express.js Database: MongoDB · PostgreSQL · Supabase AI/ML: Python · Pandas · NumPy · Scikit-learn Tools: Git · GitHub · Docker · Linux · Nginx

🌱 Currently

Learning, building, experimenting, and trying to create things worth remembering.

“Programs must be written for people to read, and only incidentally for machines to execute.” — Harold Abelson & Gerald Jay Sussman

📫 Connect

Email: awais6javaid@gmail.com

⭐ If you find something interesting here, feel free to follow along.

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  1. titanic-survival-prediction titanic-survival-prediction Public

    The objective is to build classification models that predict passenger survival using historical Titanic passenger information such as passenger class, sex, age, fare, family information, and embar…

    Jupyter Notebook

  2. rdn-deoldify-image-restoration rdn-deoldify-image-restoration Public

    A production-ready REST API that upscales low-resolution images and colorizes black-and-white photographs using state-of-the-art deep learning models. Built with PyTorch, FastAPI, and Docker.

    Jupyter Notebook

  3. plant-disease-detection-keras plant-disease-detection-keras Public

    Plant Disease Detection model built with Tensorflow and deployed as an API with FastAPI. An end-to-end Machine Learning Project maintained by Awais to detect disease (Rust, Powdery Mildew) in infec…

    Jupyter Notebook

  4. credit-card-fraud-detection credit-card-fraud-detection Public

    An end-to-end Machine Learning Project carried out by Group 3 Zummit Africa AI/ML Team to detect fraudulent credit card transactions. Built with FastAPI, Streamlit and Docker.

    Jupyter Notebook

  5. lung-cancer-detection lung-cancer-detection Public

    An end-to-end Machine Learning project to detect lung cancer using a Gradient Boost Classifier, deployed with FastAPI, Streamlit, and Docker.

    Jupyter Notebook

  6. heart-failure-prediction heart-failure-prediction Public

    Heart Failure Prediction using Machine Learning — A Flask web app that predicts heart-failure mortality using clinical patient data and a Gradient Boosting Classifier, with multiple classification …

    Jupyter Notebook