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shaadclt/README.md

I'm Mohamed Shaad, Data Scientist from India.

  • 🌱 I’m currently exploring Google Gemini for Developers.

  • 👯 I’m looking to collaborate on Gen AI and NLP Projects.

  • 📫 You can reach me at [email protected].



My Skill Set

Bootstrap HTML5 Power Bi MySQL Git OpenCV Keras
AWS C Django PostgreSQL Python TensorFlow Photoshop
CSS3 pytorch Figma Flask Tableau

Connect with me

Github Trophies

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Github Stats





Pinned

  1. Multiple-Disease-Prediction-System Multiple-Disease-Prediction-System Public

    The Multiple Disease Prediction project aims to create a user-friendly web application that allows users to input relevant medical information and receive predictions for different diseases.

    Jupyter Notebook 14 4

  2. LLM-powered-PDF-Chatbot LLM-powered-PDF-Chatbot Public

    This is a Streamlit-based PDF Chatbot powered by OpenAI's Language Models. The chatbot allows users to upload PDF files, extract text content, and ask natural language questions about the PDF content

    Python 9 1

  3. Gemini-LangChain-MultiPDF-Chatbot Gemini-LangChain-MultiPDF-Chatbot Public

    Gemini-Powered-MultiPDF-Chatbot is a Streamlit application that leverages Google Generative AI Gemini and LangChain for conversational question-answering based on PDF documents. This chatbot allows…

    Python 6 1

  4. Retail-Store-Database-Assistant Retail-Store-Database-Assistant Public

    This project is a Retail Store Database Assistant that uses LangChain and Google Palm Language Model to interact with a MySQL database. Users can ask questions about the database, and the assistant…

    Python 3

  5. Image-Chat-Gemini-Pro-Vision Image-Chat-Gemini-Pro-Vision Public

    This Streamlit application allows users to chat with an image using Google's Generative AI, Gemini Pro Vision. Users can upload an image and enter a prompt, and the application will generate a resp…

    Python 3

  6. BusinessCard-DataExtraction-OCR-NER BusinessCard-DataExtraction-OCR-NER Public

    This project aims to extract structured data from business cards using a combination of OpenCV, PyTesseract, and spaCy.

    Python 2