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 ✨🔍

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.

Creating an Product Recommender System with Apriori and FPGrowth.

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.

SOEN471 Project - Team 10 - Winter 2024

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.

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

collaborative filtering project was developed using surprise library. It provides user based and item based search. It calculates similarity score and offers suggestions.

All-in-one stealth OSINT reconnaissance tool for threat intel, bug bounty, and red teamers. metadata extraction, and parameter fuzzing included.

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.

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

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

Simple and interpretable recommender system using cosine similarity between movie vectors.

A social music app to share music experiences with friends

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

A composition of Machine Learning Projects in python using algorithms in supervised, unsupervised, and deep learning.