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TarunSingh2002/README.md

👨🏻‍💻 Hey, I'm Tarun Singh!

I'm a passionate data scientist focused on machine learning, deep learning, and AI technologies. Welcome to my GitHub profile!

🚀 About Me

  • 🌱 I’m currently learning and exploring data science, machine learning, and AI technologies.
  • 💡 I enjoy working on building machine learning models and data-driven solutions.
  • 💼 I'm actively seeking opportunities to collaborate on data science and AI projects.
  • 🎓 I hold a degree in Computer Science and have a strong foundation in programming, algorithms, and data structures.

💻 Tech Stack:

Languages

C C++ Java Python SQL

Machine Learning/AI Tools

TensorFlow Scikit-learn Pandas NumPy LangChain Apache Kafka MLOps

Hosting/SaaS

AWS Google Cloud Firebase

Databases

MySQL Redis SQLite

Design

Figma

📊 GitHub Stats:



👀 Visitor Counter

Visitor Count

✍️ Random Dev Quote

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  1. AAHAR1.0.0 AAHAR1.0.0 Public

    Aahar is a food donation app built on Java and powered by Firebase. Its primary objective is to facilitate the process of food donation, connecting food donators with receivers in a seamless manner.

    Java 12 1

  2. Movie-Recommender Movie-Recommender Public

    Jupyter Notebook 1

  3. Bollywood-song-recommendation-system Bollywood-song-recommendation-system Public

    Welcome to the Bollywood Song Recommendation System! This project uses machine learning to recommend Bollywood songs based on user-selected songs.

    Jupyter Notebook 1

  4. Harry-Potter-In-Depth-Query-Bot Harry-Potter-In-Depth-Query-Bot Public

    A LLM-powered RAG application designed to answer any query related to the Harry Potter series.

    Python 3

  5. Youtube-Comments-Sentiment-Analysis Youtube-Comments-Sentiment-Analysis Public

    This project leverages deep learning transformers to classify YouTube comments into six distinct emotions.

    Jupyter Notebook 5 1

  6. Web-Content-Question-And-Answer-Tool Web-Content-Question-And-Answer-Tool Public

    A Python-based tool that answers questions using content from specified URLs. Combines web scraping, AI models (LLMs), and vector embeddings via Streamlit and LangChain/FAISS to deliver precise, co…

    Python