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This recommendation system employs content-based filtering and NLP preprocessing to suggest similar movies based on user preferences and movie data. It fetches movie posters via APIs and is deployed on Streamlit for easy access.

Home Page: https://prashver-movie-recommender.streamlit.app/

Procfile 0.03% Python 6.48% Shell 0.11% Jupyter Notebook 93.38%
api-request natural-language-processing nltk-python numpy pandas streamlit-deployment text-preprocessing recommender-system

movie-recommendation-system's Introduction

Hi! , I'm Prashant Verma

A Data Science and Machine Learning professional with over 2 years of hands-on experience. My fascination with Artificial Intelligence drives me to explore algorithms in open-source libraries, all while concurrently working on Generative Artificial Intelligence projects.

In my data science journey so far,

  • I have skilled myself in AI methodologies including Classification, Regression, Deep Learning, etc.
  • I became proficient in Python, C++, SQL, Flask, Streamlit, and various data analysis tools.
  • I've assisted numerous individuals in aligning with their project and work requirements and delivering High-quality work to clients.
  • I have also done multiple End-to-End Projects on various use-cases such as Web Scraping, Chatbot Development, Natural Language Processing and Computer Vision.
  • Check out my Projects: Machine Learning and AI Projects

Prashant's Stats

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