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prachet283/README.md

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Hi there, I'm Prachet Pandav ๐Ÿ‘‹

๐Ÿ’ป Machine Learning Engineer & Full Stack Developer
๐Ÿš€ Passionate about ML, DL, NLP, Generative AI, and Cloud Deployment
๐Ÿ“ From Mumbai, India


๐ŸŒ Connect with Me

Email LinkedIn GitHub LeetCode Twitter


โšก Tech Stack

๐Ÿ”น Programming Languages

C C++ Python Java JavaScript


๐ŸŒ Web Development

HTML CSS Bootstrap DOM jQuery ReactJS NodeJS ExpressJS REST APIs


๐Ÿ—„๏ธ Databases

MySQL MongoDB PostgreSQL


๐Ÿ“Š Machine Learning & Data Science

NumPy Pandas Scikit-Learn Matplotlib Seaborn


๐Ÿค– Deep Learning & AI

TensorFlow Keras PyTorch OpenCV


๐Ÿง  NLP & Generative AI

NLTK SpaCy Hugging Face LangChain LangGraph OpenAI API


โ˜๏ธ Cloud & Deployment

AWS Azure ML Streamlit


๐Ÿ”ง Version Control & Tools

Git GitHub Jupyter Notebook Google Colab VS Code


๐Ÿ“– Currently Learning

  • Advanced Generative AI & LangGraph workflows
  • MLOps and model deployment with Docker + AWS
  • System Design & DSA for scalable applications
  • Exploring Reinforcement Learning for real-world use cases

๐Ÿš€ Projects Highlight

  • ๐Ÿฅ Multiple Disease Prediction System WebApp โ€“ Developed a Streamlit-based web application integrating prediction systems for Diabetes, Heart Disease, Parkinson's Disease, and Breast Cancer. Utilized machine learning models like Logistic Regression, Random Forest, and XGBoost to achieve high accuracy, ensuring reliability and precision in healthcare predictions.
  • ๐Ÿ“Š Malware Detection using Machine Learning โ€“ Built a real-time malware detection system using Random Forest and XGBoost to identify malicious behavior. The user-friendly, cross-platform tool provides timely alerts for both known and unknown threats, with scope for improving real-world accuracy.
  • โœ‰๏ธ Pneumonia Detection from Chest X rays โ€“ Built a deep learning model using DenseNet121 with transfer learning to classify chest X-ray images for pneumonia detection. Preprocessed medical images and fine-tuned the model to enhance accuracy and generalization. Achieved strong performance on validation data, showcasing potential for clinical support.
  • ๐ŸŽฎ ** Twitter Sentiment Analysis** โ€“ Developed a sentiment analysis system for Twitter data using natural language processing (NLP) techniques to classify user tweets as positive, negative, or neutral. The system provided insights into public sentiment, enabling businesses to track brand perception and customer feedback
  • ๐Ÿค– Generative AI Prompt Engineering Challenge โ€“

๐Ÿ‘‰ Check out more in my repositories.


๐ŸŽ“ Certifications

  • ๐Ÿ… Machine Learning Specialization (Coursera / Stanford Online)
  • ๐Ÿ… Deep Learning Specialization (Coursera / Stanford Online)
  • ๐Ÿ… 2025 Machine Learning & Data Science for Beginners in Python *(Udemy) *
  • ๐Ÿ… The Complete Full-Stack Web Development Bootcamp (Udemy)
  • ๐Ÿ… The Complete AI Guide: Learn ChatGPT, Generative AI & More *(Udemy) *

๐Ÿ“Š My GitHub Stats

GitHub Streak
Top Languages Prachet's GitHub Stats


๐Ÿค Letโ€™s Collaborate!

Iโ€™m always open to feedback, collaboration, or brainstorming exciting new ML, AI, and Full Stack projects.
Feel free to explore my repos, follow my journey, or reach out anytime!

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  1. ML-Project-17-Spam-Mail-Prediction-WebApp ML-Project-17-Spam-Mail-Prediction-WebApp Public

    A machine learning project aimed at predicting whether an email is spam or not.

    Jupyter Notebook

  2. ML-Project-18-Movie-Recommendation-System-WebApp ML-Project-18-Movie-Recommendation-System-WebApp Public

    A movie recommendation system predicts and suggests films to users based on their viewing history, preferences, and behavior.

    Jupyter Notebook

  3. ML-Project-20-Multiple-Disease-Prediction-System-WebApp ML-Project-20-Multiple-Disease-Prediction-System-WebApp Public

    A comprehensive machine learning-based web app for predicting multiple diseases from medical data.

    Jupyter Notebook 8 4

  4. ML-Project-21-Classification-Project-WebApp ML-Project-21-Classification-Project-WebApp Public

    A web app featuring five classification projects: Spam Mail Prediction, Titanic Survival Prediction, Wine Quality Prediction, Loan Status Prediction, and Credit Card Fraud Detection, all built withโ€ฆ

    Jupyter Notebook

  5. DL-Project-Pneumonia-Detection-from-Chest-X-ray-Images-using-DenseNet121 DL-Project-Pneumonia-Detection-from-Chest-X-ray-Images-using-DenseNet121 Public

    Jupyter Notebook

  6. NLP-Project-1-Twitter-Sentiment-Analysis-WebApp NLP-Project-1-Twitter-Sentiment-Analysis-WebApp Public

    A Sentiment Analysis project involves using natural language processing (NLP) to automatically identify and classify emotions or opinions expressed in text as positive, negative, or neutral.

    Jupyter Notebook