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🎓 I'am Computer Science major with a passion for AI and ML; proficient in Java, Python, and web development.
📚 Currently learning Deep Learning, NLP, Generative AI, Django, and LLMs.
🔄 Believes in continuous learning to stay ahead in the fast-paced AI world.
💬 Open to collaboration and discussions; contact at [email protected] for AI/ML queries.

🌐 Social Media:

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💻 My Tech Stack:

Java HTML5 JavaScript Python Firebase Netlify GithubPages Render Anaconda Bootstrap Django FastAPI Flask OpenCV MySQL SQLite Firebase Canva Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub Git GitHub Actions Bitbucket GitLab Notion

📊 GitHub Stats:


Samagra Shrivastava's Projects

hiring-platform icon hiring-platform

This Django-based Hiring Platform is designed to streamline the hiring process, providing a platform for candidates and Human Resources (HR) professionals.

hotel-booking-data-analysis icon hotel-booking-data-analysis

The project utilizes data analytics techniques and tools to examine various aspects of the hotel booking process, enabling a better understanding of customer behavior, preferences, and trends

medilab icon medilab

This is a very interesting advanced Java project. It is a hospital management project made using Java core concepts and advanced Java tools and technology.

netflix-ui icon netflix-ui

This is a Netflix website clone made using HTML, CSS and JavaScript.

sms-spam-classifier icon sms-spam-classifier

This project is designed to classify emails as either spam or legitimate using machine learning techniques and natural language processing (NLP).

tech_blog_ icon tech_blog_

This is a java web application name as TECH CHRONICLES made using Java Core, JDBC, Servlet, JSP and MSQL. IDE used here is Netbeans version 16 and server used is Tomcat Server. And this website is running on localhost.

zomato-delivery-time-prediction icon zomato-delivery-time-prediction

The Zomato Delivery Time Prediction Application is a machine learning-driven Flask web application designed to predict the estimated delivery time for food orders placed on the Zomato platform.

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