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Osamsami/README.md

Hi there 👋. Thanks for stopping by. I suppose you're here to find out who I am and what I do.

I'm Osam Sami, an Artificial Intelligence undergraduate at COMSATS University, Pakistan.

I spend most of my time learning and building things around machine learning. My interests revolve around understanding how intelligent systems work, not just using existing models. Right now that mostly means going deeper into machine learning, deep learning, and computer vision.

I believe the best way to learn is by building. Most of my projects are an opportunity to apply theory to real problems while improving my software engineering skills along the way. So far I've worked on a House Price Predictor, where I built and deployed a complete machine learning pipeline, and DietLog, a nutrition tracking app that integrates vision models through the Gemini API.

My goal isn't just to train models, but to understand the full lifecycle of an AI application: from collecting and preparing data, to training, to deploying something reliable that people can actually use.

I'm particularly interested in applied AI, deep learning, and computer vision. As I keep learning, I hope to contribute to meaningful projects, work alongside people who know more than I do, and eventually build AI systems that solve real problems.

There's still a long road ahead — and that's exactly what makes it exciting.

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  1. house-price-linear-regression house-price-linear-regression Public

    Production-ready ML microservices pipeline. Features a FastAPI backend serving a Scikit-Learn model and a dynamic Streamlit dashboard, fully Dockerized for CI/CD deployment.

    Python

  2. dietlog dietlog Public

    Vision-Based Nutrition Tracking Platform

    Dart 1

  3. breast-cancer-diagnostic-classifier breast-cancer-diagnostic-classifier Public

    model training on Breast cancer Diagnosis Kaggle Dataset.....using (KNN Algorithm)

    Python

  4. nyc-airbnb-clustering-analysis nyc-airbnb-clustering-analysis Public

    Market segmentation of NYC Airbnb listings using K-Means clustering to identify distinct pricing and stay patterns.

    Python