Intelligence Where You'll Get Your Next Music. Industrial Training Project 2019 under the guidance of Ardent Computech Pvt. Ltd.
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Updated
Jul 20, 2019 - Jupyter Notebook
Intelligence Where You'll Get Your Next Music. Industrial Training Project 2019 under the guidance of Ardent Computech Pvt. Ltd.
Recommender as a service.
A Laravel-based web application that recommends movies, connects users through a movie community, and offers a rewards system.
This project is a personalized music recommendation system that integrates machine learning models with the Spotify API to provide tailored music recommendations and playlist management. Built as a user-friendly web application using Streamlit, the system allows users to discover new music and organize playlists seamlessly.
Scholarship Spy is a web-based platform that offers personalized scholarship recommendations from various sources on a single platform, simplifying the scholarship search process for users. With Scholarship Spy, users can easily find the best-suited scholarships based on their profiles and interests.
This is edunet AI microsoft 2025 april batch project. I'm Aarav created this project.
ArtBloom is a backend application designed for art enthusiasts and researchers.
user 맞춤 영화 추천 알고리즘을 적용한 영화 커뮤니티 사이트
Movie Recommendation System using Item-Based
A scalable, production-ready movie recommendation system built using a microservices architecture. This application analyzes movie content features to suggest films similar to ones you already enjoy. this system examines genres, plot descriptions, and other movie attributes to find hidden connections between films.
ExploreItAI is a machine learning-based recommendation system built using Python, FastAPI, and scikit-learn. It is designed to analyze user behavior and preferences to suggest the most relevant events or activities. The core idea is to make event exploration intelligent and personalized
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