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ai-recommendations

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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 Oct 21, 2025
  • Jupyter Notebook

SportsSphere is a sports management platform for athletes, clubs, and organizers. It supports event registration, club memberships, an online store, and scholarships. Built on Node.js with PostgreSQL and MongoDB, it offers secure payments, real-time updates, and AI-driven recommendations with multi-language and multi-region support.

  • Updated May 25, 2025
  • JavaScript

CinemAI is a sophisticated movie and TV show recommendation system that leverages cutting-edge AI technologies combined with traditional algorithms to provide personalized recommendations using AI embeddings, statistical clustering, and GPT-4 for intelligent movie suggestions.

  • Updated Jul 15, 2025
  • Python

🎵 Um clone full-stack do Spotify construído com Next.js, Node.js e PostgreSQL. Apresenta recomendações de música personalizadas com IA (Google Gemini) e streaming de música via API Jamendo.

  • Updated Oct 31, 2025
  • TypeScript

AI-Powered Personal Finance Advisor built with Go - A modern financial management system featuring intelligent investment recommendations, real-time market data integration, comprehensive transaction tracking, and advanced analytics. Built with Clean Architecture, JWT authentication, and production-ready DevOps pipeline.

  • Updated Aug 23, 2025
  • Go

MediLinx is a modern healthcare platform built in the 6th semester, bridging patients and providers. It features AI-powered recommendations, appointment management, and personalized health info, showcasing advanced web development, database design, and AI integration in healthcare.

  • Updated Jul 8, 2025
  • PHP

AI-powered career development platform using Monte Carlo simulations to predict project success probability and optimize career growth paths. Built with Spring Boot, integrates Google Gemini AI and Cloud NLP for personalized recommendations, sentiment analysis, and data-driven project selection.

  • Updated Sep 11, 2025
  • Java

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