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#

ai-recommendation-system

Here are 12 public repositories matching this topic...

Full-stack hybrid book recommendation system combining Collaborative Filtering and Content-Based Filtering with weighted hybrid scoring, modular data pipelines, and model persistence. Deployed via Flask with responsive HTML/CSS UI and integrated CI/CD for production-ready, scalable, and interactive recommendations.

  • Updated Sep 24, 2025
  • Jupyter Notebook

Rajwadi Poshak is a feature-rich e-commerce platform that leverages AI-driven image-based recommendations to enhance the shopping experience. Built with modern web technologies, it offers seamless browsing, secure transactions, and an intuitive UI. The platform includes both a user-friendly shopping interface and a powerful admin panel for efficien

  • Updated May 6, 2025
  • TypeScript

JourX is an AI-powered mental health journaling app that helps users track emotions, reflect on their growth, and receive personalized recommendations. With features like daily journaling, weekly summaries, and AI-driven insights using OpenAI GPT, JourX promotes emotional well-being and self-awareness.

  • Updated Jan 28, 2025
  • PHP

Since 1969, only 279 people have become Master Sommeliers, highlighting the difficulty of the exam. Our AI sommelier, powered by RAG (Retrieval-Augmented Generation), makes it easier by giving you wine recommendations based on your taste. Whether you’re a wine expert or just enjoy a glass now and then, we’ll help you find the perfect bottle.

  • Updated Nov 1, 2024
  • Jupyter Notebook

JourX is an AI-powered mental health journaling app that helps users track emotions, reflect on their growth, and receive personalized recommendations. With features like daily journaling, weekly summaries, and AI-driven insights using OpenAI GPT, JourX promotes emotional well-being and self-awareness.

  • Updated Jan 28, 2025
  • Dart

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