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Pushya04/README.md

Hello there, I'm Pyaraka Pushyamithra ๐Ÿ‘‹

๐ŸŽ“ I'm a Computer Science undergraduate at IIIT Guwahati passionate about building intelligent systems and full-stack applications. My journey spans Machine Learning, Computer Vision, and Web Development, where I enjoy turning complex problems into elegant solutions. I'm also a huge fan of open-source, DevOps, and automation.

๐Ÿ“Œ Currently exploring: AI research, Real-time systems, and full-stack ML applications.


๐Ÿ“ˆ GitHub Stats


๐Ÿง  Technical Skills

๐Ÿ’ป Languages

Python C C++ JavaScript HTML CSS

๐ŸŒ Web Development

React Flask FastAPI Streamlit Node.js

๐Ÿค– AI / ML / CV

TensorFlow scikit-learn OpenCV NumPy Pandas

โ˜๏ธ DevOps & Tools

Docker Git GitHub Actions VS Code Ubuntu

๐Ÿ—ƒ๏ธ Databases

MongoDB MySQL PostgreSQL


๐Ÿ” Featured Projects

Used Graph Neural Networks on EEG signals to predict emotional states with over 63% valence accuracy.
โš™๏ธ Python, SciPy, NumPy, Chebyshev Filters, t-SNE, GNNs, Matplotlib

A full-featured desktop text editor with syntax highlighting, auto-save, PDF export, theme switching, and more โ€” built entirely with Python and Tkinter.
โš™๏ธ Python, Tkinter, ReportLab, PyEnchant, PyInstaller

A full-featured calculator suite with scientific, graphing, currency, weather, and unit converters. Fully responsive and installable as a PWA.
โš™๏ธ HTML, CSS, JavaScript, GitHub Pages, Open-Meteo API, ExchangeRate API, Canvas, Manifest, Service Worker

NLP-powered model to classify sarcastic and non-sarcastic statements with better accuracy.
โš™๏ธ Flask, scikit-learn, SMOTE, TfidfVectorizer

An interactive web app that predicts diabetes likelihood using a Random Forest Classifier trained on the Pima Indians Diabetes Dataset.
โš™๏ธ Python, Streamlit, scikit-learn, Pandas, Numpy, Matplotlib


๐Ÿ“ฌ Letโ€™s Connect


โ€œCode like a poet, debug like a detective.โ€

Popular repositories Loading

  1. sarcasm-detection-system sarcasm-detection-system Public

    A machine learning-based system that classifies text as sarcastic or not using NLP and logistic regression. Includes a user-friendly GUI, SMOTE for class imbalance, and performance evaluation metriโ€ฆ

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  2. my-diabetes-app my-diabetes-app Public

    This is a simple and interactive web application built using Streamlit to predict whether a person is likely to have diabetes based on various health-related parameters. The prediction is made usinโ€ฆ

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  3. eeg-gnn-emotion-recognition-Deap_Dataset eeg-gnn-emotion-recognition-Deap_Dataset Public

    EEG Emotion Recognition using Spectral Graph Neural Networks

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  4. quantisuite quantisuite Public

    Professional all-in-one web suite (scientific, graphing, converters, PWA, weather)

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  5. NotoPad-Pro NotoPad-Pro Public

    A customizable and lightweight text editor built in Python with smart editing, theming, and file tools.

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  6. AI-Image-Search AI-Image-Search Public

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    AI-powered image search engine enabling natural language queries through semantic embeddings, vector search (FAISS), automated web scraping, and full-stack implementation with FastAPI/Streamlit.

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