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Alejandro-Candela/README.md
  • Focused on deploying AI models and solutions into production, bridging the gap between research and real-world impact.
  • With a strong passion for Computer Vision, I am eager to explore its applications in advancing industries and improving lives.
  • Cloud-based machine learning, leveraging platforms like AWS to deliver scalable, efficient, and transformative AI applications.
  • My goal is to push boundaries, solve real-world problems, and continuously evolve as part of a collaborative and innovative environment.

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  1. picturaizer picturaizer Public

    Picturaizer – your one-stop AI-powered toolbox to upscale, enhance, and creatively edit your photos! 😎✨ Whether you're looking to boost image details, clean up noise, or add that extra artistic fla…

    TypeScript

  2. tennis-stats-analyzer tennis-stats-analyzer Public

    An end-to-end computer vision and machine learning system that processes tennis match videos to detect players and the tennis ball, compute shot speeds and player movement statistics, and generate …

    Jupyter Notebook

  3. end-to-end-cancer-classifier end-to-end-cancer-classifier Public

    An automated system for detecting pulmonary adenocarcinomas using deep learning and computer vision techniques. The project features a modular pipeline—from data preprocessing and augmentation to m…

    Jupyter Notebook

  4. want-that-backend want-that-backend Public

    🔍 AI-powered visual search API that helps users find and compare products online by uploading images. Built with FastAPI and computer vision.

    Python

  5. Drowsiness-AI-detection Drowsiness-AI-detection Public

    Using OpenCV for gathering the images from webcam and feed them into a Deep Learning model which will classify whether the person’s eyes are ‘Open’ or ‘Closed’.

    Python

  6. ML-geographic-research ML-geographic-research Public

    Research through ML algorithms to find out which neighborhood in Madrid is the best for a young family

    Jupyter Notebook