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aayushthapa213/README.md

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💫 About Me:

👋 Hi there! I'm a BCA student with a growing passion for Machine Learning and tech.
🔭 I’m currently working on learning and experimenting with Machine Learning projects.
👯 I’m looking to collaborate on beginner-friendly ML or web-based projects.
💬 Ask me about web development, BCA life, or how I got into ML.
⚡ Fun fact: I love blending creativity with tech — from coding to storytelling!
🎯 Always learning, always growing. Open to collaboration and new opportunities!

🌐 Socials:

LinkedInemail

💻 Tech Stack:

CHTML5JavaScriptPHPPythonTypeScriptRenderBootstrapChakraDaisyUIExpress.jsJWTNodeJSNestJSNPMNodemonReactReact RouterSocket.ioTailwindCSSViteMongoDBMySQLFigmaCanvaMatplotlibNumPyPandasPlotlyscikit-learnScipyGitHubPostmanPower Bi

📊 GitHub Stats:



🏆 GitHub Trophies

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  1. TimeSeries-Forecasting-ARIMA-LSTMTimeSeries-Forecasting-ARIMA-LSTMPublic

    A time series forecasting project using ARIMA and LSTM models with complete data preprocessing, model training, and performance comparison.

    Jupyter Notebook

  2. Tiger-Detection-YoloTiger-Detection-YoloPublic

    A YOLO-based deep learning project for detecting tigers in images using custom training data.

    Jupyter Notebook

  3. Handwritten-Letter-ClassifierHandwritten-Letter-ClassifierPublic

    A CNN-based machine learning project to classify handwritten English alphabets (A–Z).

    Jupyter Notebook

  4. Sentiment_AnalysisSentiment_AnalysisPublic

    Sentiment Analysis using Random Forest to classify comments as positive or negative based on text data.

    Jupyter Notebook

  5. Movie-Recommendation-SystemMovie-Recommendation-SystemPublic

    🎬 A KNN-based movie recommendation system built with Python to suggest films based on user preferences and similarity.

    Jupyter Notebook

  6. realtime-chat-apprealtime-chat-appPublic

    A real-time chat app built with the MERN stack, featuring JWT authentication, Socket.io messaging, Zustand state management, and a sleek UI powered by Tailwind CSS and Daisy UI.

    JavaScript