Software engineering project AI movie recommender app
Автор: MM01vlogs
Загружено: 2025-06-11
Просмотров: 30
🎬 Introducing MovieRecommenderApp – An AI-Powered Desktop Experience for Effortless Movie Discovery 🎬
We are proud to present MovieRecommenderApp, a powerful and elegant desktop application that redefines how users explore and engage with movies.
Developed using a robust technology stack combining Python (Flask) and .NET (C# WinForms), this application delivers an intelligent and seamless movie discovery experience by integrating machine learning, natural language processing (NLP), and real-time content APIs.
💡 Key Features at a Glance
✅ AI-Powered Recommendations – Enter any movie name and receive an instantly curated list of similar titles using a content-based recommendation engine trained on the TMDB dataset.
✅ Smart Movie Chatbot – Interact with an integrated AI-powered chatbot that answers movie-related queries with context-aware responses.
✅ Trailer Streaming Section – Browse an embedded trailer hub featuring Upcoming, Popular, and Top Rated trailers fetched live via the TMDB API.
✅ YouTube Integration – Search and watch trailers directly inside the app via embedded YouTube—no need to switch tabs.
✅ Rich Movie Details – Click on any recommended movie to view a themed popup with full details: poster, title, cast, genre, director, producers, release date, and more.
✅ Modern UI/UX – Enjoy a sleek light/dark mode toggle, smooth animations, and a responsive, user-centered interface.
🛠 Tech Stack
Python · Flask · .NET 8 · C# · WinForms · TMDB API · REST · NLP · JSON · Embedded YouTube · Machine Learning
👨🏫 Honorable Supervisor
Prof. Dr. Kazi Masudul Alam, Ph.D.
CSE Discipline, Khulna University
We are deeply grateful to our respected supervisor for his invaluable guidance, consistent support, and insightful mentorship throughout this project.
👨💻 Dedicated Team Members
Aslam Ansari, Habibur Rahman, and Mukesh Kumar Mandal
This project was collaboratively developed by a passionate and skilled team, each member contributing expertise in software engineering, machine learning, and desktop application development.
🎯 This project showcases how AI can be seamlessly integrated with modern desktop UI/UX to create a dynamic, personalized content experience for users.
🔗 GitHub Repository
👉 https://github.com/Mukeshkumarmandal/...
💬 We welcome feedback, collaboration, and ideas for future enhancements!
#AI #MachineLearning #MovieRecommendation #DesktopApp #Python #Flask #DotNet #WinForms #TMDB #YouTubeIntegration #Chatbot #SoftwareEngineering #OpenSource #LinkedInProjects
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