BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications.

This project is a cosmetic recommendation system that uses webcam detection, image analysis, or manual input to identify skin concerns and suggest suitable products from a dataset.

DeepShelf is your AI-powered book buddy 📚🤖 — type what you’re in the mood for, and it finds the perfect novel using smart search + ranking ✨🔍

BERT4Rec sequential recommendation system built from scratch in PyTorch. HR@10 = 0.2901, NDCG@10 = 0.1624 — exceeds original paper benchmarks on MovieLens 1M.

FRUDRERA is an AI-powered recipe recommender that suggests recipes based on the ingredients detected in a photo of your fridge. It utilizes object detection and OCR to identify ingredients and recommend recipes accordingly.

A social music app to share music experiences with friends

AniZenith is an intelligent chatbot that provides personalized anime recommendations based on user preferences. It features a production-ready full-stack MLOps architecture, including a FastAPI backend, decoupled frontend services, automated CI/CD pipelines, and RAG-MCP–based reasoning.

Creating an Product Recommender System with Apriori and FPGrowth.

⚡ Blazing-fast graph processing engine in Rust with ML-powered optimization. 50-200x faster than Python/JS. Self-tuning algorithms, real-time anomaly detection, and sub-10ms queries on million-node graphs. 🚀🧠

A Python-based social network analysis project that cleans JSON data and implements friend and page recommendation systems using mutual connections and shared interests.

An AI-based inventory optimization system that leverages machine learning to predict demand, recommend menu items, and streamline stock management for restaurants and food service businesses.. — all deployed through a real-time Stream lit web app.

This project was done to fulfil the Machine Learning Terapan 2nd assignment submission on Dicoding. The domain used in this project is book recommendation.

Full-stack AI-powered wallpaper gallery featuring personalized recommendations, colour palette search, shareable collections, Firebase auth and a taste profile that learns from every like, view and download.

This is a collaborative filtering based books recommender system & a streamlit web application that can recommend various kinds of similar books based on an user interest.

4Geeks Academy data science boot camp: movie recommender system with project

SOEN471 Project - Team 10 - Winter 2024

AI-powered skincare recommendation system using NLP, TF-IDF vectorization, cosine similarity, and explainable AI for personalized skincare suggestions.

An intelligent activity-based music recommendation platform that enhances music discovery by aligning songs with users’ real-world contexts.

A Multi-Agent Deep Reinforcement Learning (MARL) based system that recommends research papers based on user-selected categories. Multiple DQN-trained agents collaboratively learn optimal policies to suggest relevant and diverse papers tailored to user preferences.

MovieMinds - Connect with similar cinephiles