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Fatha27/README.md

Hi there 👋, I'm Syed Fathaullah

💻 I'm an IT graduate, passionate about Machine learning & all things surrounding data.

📚 Love diving into thought-provoking articles and papers in the ML domain to stay inspired and broaden my perspective.

🌱 currently seeking a data-driven role where I can create meaningful impact and grow professionally.

📩 Reach me at: syedfathaullah27@gmail.com

Feel free to check out my projects below! 😊

Languages and Frameworks:

                         

🔥 My Stats :

GitHub Streak

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  1. Sponsor-detector-YOLOv8 Sponsor-detector-YOLOv8 Public

    An end-to-end pipeline leveraging YOLOv8 to detect sponsor logos on sports jerseys, with a FastAPI backend for model inference and a Streamlit frontend for seamless image upload and detection results.

    Jupyter Notebook

  2. movie-keywords-embeddings movie-keywords-embeddings Public

    neural network model using TensorFlow and Keras to predict the rating user would give to a movie based on their past rating history. Utilized embeddings to encode high-cardinality categorical featu…

    Jupyter Notebook

  3. Price-Notifier Price-Notifier Public

    Price Notifier is a web application that empowers users to monitor their preferred e-commerce products or stock/cryptocurrencies and receive email alerts when the prices reach their desired thresho…

    HTML

  4. Recommender-chatbot Recommender-chatbot Public

    Leverages Google Generative AI and flask to create a session based chatbot fine-tuned to generate only recommendations for multiple domains.

    HTML

  5. review-classification-and-sentiment-analysis review-classification-and-sentiment-analysis Public

    Performed Sentiment analysis on clothing reviews dataset with nlp techniques while also using ML algorithms to classify clothing reviews as positive or negative. A Flask web app was developed to al…

    Jupyter Notebook

  6. Multi-domain-Recomender-System Multi-domain-Recomender-System Public

    A Multi domain Recommender system that generates content based recommendations for books, movies, tv series, restaurants and online courses.

    JavaScript