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Prathamesh Shete

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About Me

I am Prathamesh Shete, a Data Researcher at CollegeDunia Pvt. Ltd. with a Bachelor’s degree in Electrical Engineering from SB Patil College of Engineering. I am passionate about Artificial Intelligence and Machine Learning, with a strong focus on developing innovative solutions using advanced technologies.

Skills

  • Programming Languages: Python
  • Frameworks and Libraries: PyTorch, TensorFlow, HuggingFace, LangChain, Streamlit
  • Technologies: GANs, Transformers, LLMs, Web Scraping, NLP, Power BI, Advanced Excel
  • Tools: Scrapy, NLTK, Sklearn, Gemini, ChatGPT, Mistral, Llama2, Falcon, Claude

Projects

  1. Chat with Krishna (Bhagwat Gita)

    • Technologies: Python, Streamlit, RAG
    • Description: A chatbot that provides answers to users' life and work problems based on the Bhagwat Gita.

  2. Chat with Docs

    • Technologies: Python, Streamlit, LangChain
    • Description: A platform for natural language communication between patients and healthcare professionals.

  3. Website Custom Chatbot

    • Technologies: NLP, Python, Hugging Face, LLM
    • Description: An efficient virtual assistant that analyzes websites and provides accurate answers to questions.

  4. SEO Ranking Checker

    • Technologies: Python, Streamlit
    • Description: Extracts Google SEO ranking in bulk and generates a CSV file with keywords, positions, and links.

  5. Invoice Data Extractor using Gemini

    • Technologies: Python, Streamlit
    • Description: Utilizes Gemini Vision AI for accurate data extraction from invoices.

Certifications

  • Codebasics MySQL, Excel, Python & Power BI Certification
  • LangChain - Develop LLM powered applications with LangChain
  • Generative AI Fundamentals by DataBricks

GitHub Stats

Prathamesh's GitHub stats Top Langs

Contact

Prathamesh Shete's Projects

seo-bulk-rank-checker icon seo-bulk-rank-checker

A Streamlit web app for performing SEO ranking checks in bulk using Selenium. This tool allows users to input a URL and a list of keywords, either manually or by uploading a CSV file, and retrieve the SEO rankings for those keywords on Google. The app utilizes Selenium for browser automation and headless Chrome for a seamless user experience.

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