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@LizardByte

Achievements

Achievement: Public SponsorAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Public SponsorAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

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Zahem-Saldin/README.md

Hi there 👋

  • 🎓 I’m a final-year Data Science student at SLIIT
  • 🔭 Currently working on several projects in data science and machine learning
  • 🌱 Learning advanced Python and exploring new libraries and tools
  • 🤝 Open to collaboration and feedback on my open-source projects
  • 📂 Check out my university project repository: github.com/IT21802744

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  1. Agro-Vision-AI Agro-Vision-AI Public

    A deep learning-powered system for classifying cultivation lands from satellite imagery using Soft Lable CNNs, RNNs, and vegetation indexes to detect temporal high, medium, and low crop zones.

    Python 1

  2. Movie_Monitor Movie_Monitor Public

    A full-stack Dockerized movie analytics app that integrates with Prometheus and Grafana APIs. Built with React, Node.js, and Express, it fetches and visualizes real-time metrics with a cinematic tw…

    JavaScript

  3. Insight_Summarizer Insight_Summarizer Public

    A full-stack text summarizer app that lets you generate custom-length summaries and performs advanced NLP analyses including sentiment scoring, keyword extraction, topic modeling, and evaluation me…

    JavaScript

  4. IoT-Predictor IoT-Predictor Public

    Real-time IoT system that captures temperature and humidity every minute, stores data in MongoDB, and predicts the next hour's conditions using a trained machine learning model with MQTT integration.

    Python

  5. Kaggle-Animal-Model Kaggle-Animal-Model Public

    Animal image classifier with transfer learning, reduced batch size, and augmented training via horizontal flips.

    Jupyter Notebook

  6. Crypto_Price_Forecast Crypto_Price_Forecast Public

    Predicting cryptocurrency prices using Naive Bayes, Neural Networks, and Linear Regression with GPU-accelerated training in WSL2. Built with Scikit-learn, TensorFlow, Pandas, and Matplotlib. Achiev…

    Python