building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.
Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities
Recommendation System Using three different approaches Simple Recommendation Using Content based( TF-IDF & Bag of words ), Using KNN and Collaborative Filtering (Item-Item). Explanation:https://www.youtube.com/watch?v=lapsqCrSwCo
A Movie recommendation System
Implementation of an Information Retrieval System based on the Vector Information Retrieval Model.
SearchMate is CLI tool that helps in searching the equivalent content over the internet by taking reference of a document(.txt,.pdf,.docx) and list down the URL with their appropriate find scores.
Movie Recommendation Flask app using content filtering.
Lolicon orthodontic treatment | Ban Child Porn On Telegram in 80% Accuracy
SearchMate is CLI tool that helps in searching the equivalent content over the internet by taking reference of a document (.txt,.pdf,.docx) and list down the URL with their appropriate find scores.
🔍 Ensuring community harmony and shielding against ads and harassment with DFA-based offensive language detection. 🌐💬
Basic Movie Recommendation Web Application using content filtering.
A mini content moderation project app that uses Mistral AI to detect inappropriate or harmful text. Built with FastAPI and Streamlit, it flags content based on certain categories, supports custom "bad words," and masks PII information.
Content-based Filtering Recommendation System for Vkusotiiki-bg as Artificial Intelligence course project
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