Curious and driven developer diving into Machine Learning, Data Science, and Artificial Intelligence. I enjoy turning ideas into practical projects and sharing my work so others can learn, experiment, and build with me. Feel free to check out my repos for inspiration or collaboration. Star ⭐ your favorite projects if you enjoy them!
- Core Machine Learning concepts and building complete ML pipelines
- Exploratory Data Analysis (EDA) with pandas, numpy, matplotlib, seaborn
- Clear, insightful data visualizations and fully reproducible project documentation
- Productive GitHub habits: structured repos, meaningful READMEs,
.gitignore,requirements.txt, and version control workflow
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pan-card-authentication-app – PAN card detection web app that analyzes uploaded card images, flags tampering or inconsistencies, and highlights suspicious regions using computer vision and OCR.
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dogbreed-deepvision – Streamlit-based dog breed prediction app powered by deep learning; classifies uploaded dog images using a CNN trained on multiple breeds.
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PixelPythonSnake – Colorful Python Turtle Snake game where you guide a growing serpent to eat food, avoid walls and its own tail, and chase high scores.
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building-energy-forecasting – Jupyter Notebook project that builds ML models to forecast building energy consumption with preprocessing, training, and evaluation.
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house-prices-regression – Kaggle-style house price regression with extensive EDA, feature engineering, and modelling on 1460 homes.
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luna-reader – Live camera text reader with mirror mode, multilingual OCR, real-time object detection, and text-to-speech feedback using OpenCV, Tesseract, and gTTS.
- Python, pandas, numpy, matplotlib, seaborn
- scikit‑learn, Jupyter Notebook
- Data Cleaning, EDA, Regression, Prediction, Visualization
- Git & GitHub: repo management, markdown, workflow automation
- ML basics and how to structure a project
- Visualization and storytelling with data
- Getting started with Kaggle competitions
- Organizing and documenting data science repositories
- End‑to‑end real‑world ML projects, such as energy consumption forecasting and deployment‑ready workflows
- Modern deep learning topics, including representation learning and advanced neural network architectures
- Open‑source contributions, collaborative learning communities, and sharing reusable data science templates
- Email: protyaysahawork@gmail.com