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pramodkoujalagi/README.md

MasterHead

Hi there!👋 I'm Pramod Koujalagi

Coding

pramodkoujalagi

🙋‍♂️ About me

🌟LinkedIn Top AI Voice | Top Machine Learning voice🌟
With a Bachelor of Engineering in Computer Science and Engineering, I bring a extensive wealth of expertise in the field of Data Science, Artificial Intelligence & Machine Learning. My passion for technology has been a driving force throughout my journey, fueled by a profound fascination with the extraordinary capabilities of AI. With a commitment to innovation, I am dedicated to exploring and contributing to the dynamic landscape of Artificial Intelligence. My interests extend to Generative AI, where I seek to push the boundaries of what is achievable in this evolving field.

I’m looking to collaborate on Open-Source AI Projects

📫 Connect with me

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  1. Automated-Course-Content-Generator Automated-Course-Content-Generator Public

    Automated Course Content Generator (ACCG) is an AI-powered Streamlit app for SMEs, Content Creators, and Educators. Input Course Name, Audience Level, Difficulty, and Credits to get a dynamic cours…

    Python 6 4

  2. Erudite-MultiPDF-ChatBot Erudite-MultiPDF-ChatBot Public

    Erudite is an AI-powered intelligent chatbot that enables users to upload, analyze, and converse about multiple PDF documents, providing accurate and contextually relevant answers and insights.

    Python

  3. AI-News-Companion AI-News-Companion Public

    This Streamlit application serves as a News Search Agent. I call it Newzy. The agent is capable of providing the latest news, along with links to relevant articles, and summarize the news based on …

    Python

  4. AI-Personal-Agent AI-Personal-Agent Public

    The code sets up a Streamlit application where users can interact with a personal agent powered by various language models and tools, including OpenAI's GPT, DuckDuckGo search, and mathematical rea…

    Python

  5. Song-Popularity-Prediction-ML Song-Popularity-Prediction-ML Public

    Machine learning model to predict the number of streams a song receives in a year based on all the key attributes given in the dataset.

    Jupyter Notebook

  6. Depression-Detection-Digital-Assistant-RoBERTa Depression-Detection-Digital-Assistant-RoBERTa Public

    Developed an automated system to detect signs of depression from digital data using the Hugging Face's roBERTa-base model from the transformers library in Python, achieving a 89.18% accuracy. Deplo…

    HTML 1