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Achievement: QuickdrawAchievement: Pull Shark

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yash9439/README.md

LinkedIn LeetCode CodeForces Instagram

  • Hi, I'm an undergraduate student researcher | LTRC, IIIT H

  • 🔬 I'm currently studying for a B.Tech for Computer Science and MS for Computational Linguistics at IIIT Hyderabad.

  • 📚 Currently expanding my knowledge and skills in Artificial Intelligence, Machine Learning, Natural Language Processing, and Data Science.

🔥 Languages & Frameworks & Tools & Abilities 🔥


A little more about me... 

const Yash = {
  pronouns: "He" | "his",
  language: [C++, Python, C, Javascript, Typescript],
  frontend: [React, Javascript, Bootstrap, Materialize, HTML, CSS],
  backend: [express, nodeJs],
  miscellaneous: [Machine Learning, Natural Language Processing, MongoDB, Docker, Shell Scripting],
  libraries: ["Pytorch", "Keras", "TensorFlow", "LangChain", "LayoutParser", "NLTK", "iNLTK", "WordNet"],
 challenge: "I am doing the #100DaysOfCode challenge focused on Competitive Programming"
}

Connect with me at: LinkedIn

Coder GIF

I love connecting with different people so if you want to say hi, I'll be happy to meet you more! :)


GitHub Streak

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  1. RAG-with-Agents-llama3 RAG-with-Agents-llama3 Public

    AI-Powered PDF Query: LangChain ReAct agents with Qdrant and Groq's llama3 for intelligent document retrieval.

    Jupyter Notebook 8 4

  2. chat-with-multiple-pdf chat-with-multiple-pdf Public

    This project allows you to engage in interactive conversations with your PDF documents using LangChain, ChromaDB, and OpenAI's API. With this powerful combination, you can extract valuable insights…

    Python 6 6

  3. Qdrant-DeepsetHaystack-Llama3-QnA-ChatBot Qdrant-DeepsetHaystack-Llama3-QnA-ChatBot Public

    Question-Answering ChatBot leveraging Qdrant for vector search, Deepset Haystack for NLP pipeline, and Llama3 for advanced language understanding.

    Jupyter Notebook 2

  4. RayQdrantFastEmbed RayQdrantFastEmbed Public

    Generating embedding for 1000s of PDF Documents, in Qdrant using FastEmbed with distributed Computing in Ray

    Jupyter Notebook 5

  5. NLP-ProjectArchive NLP-ProjectArchive Public

    Contains Models for : Question Answering, Future Word Prediction, POS Tagging, Word Embedding, Analyising Twitter Scaped Data, Semantic Similarity

    Jupyter Notebook 4

  6. Detectron-Layout-Parser Detectron-Layout-Parser Public

    This code performs PDF layout analysis and optical character recognition (OCR) using the layoutparser library and Tesseract OCR Engine. It detects the layout of a PDF document and extracts text fro…

    Python 13 2