A Movie Recommender System that’s designed to rescues you from those “What should I watch?” moments. 🍿
What’s the scoop?
🔹 User-Friendly Interface: Created with Streamlit, this app is as easy to use as flipping through movie channels. Just pick a movie, and get recommendations faster than you can say “blockbuster!”
🔹 Smart Suggestions: Using a dataset full of movie titles and similarity scores, it suggests films you might actually enjoy. Say goodbye to endless scrolling!
🔹 Stunning Posters & Details: Integrated with The Movie Database (TMDb) API, the app fetches movie posters so cool you’ll want to frame them. Plus, get all the details in one place.
🔹 Movie Details Galore: Click on a recommended movie and dive into its release date, category type, time, rating, overview, actor and actress, and twam. It’s like having a personal movie guide!
Tech Stack:
Streamlit for the web app pandas for data handling requests for fetching movie info pickle for data storage TMDb API for fetching those awesome posters
What’s next? The app is still in development, but I’m eager to deploy it soon. Stay tuned for updates!
I’m excited about this project and can’t wait for you all to try it out.
linkedin : A Movie Recommender System that’s designed to rescues you from those “What should I watch?” moments. 🍿
What’s the scoop?
🔹 User-Friendly Interface: Created with Streamlit, this app is as easy to use as flipping through movie channels. Just pick a movie, and get recommendations faster than you can say “blockbuster!”
🔹 Smart Suggestions: Using a dataset full of movie titles and similarity scores, it suggests films you might actually enjoy. Say goodbye to endless scrolling!
🔹 Stunning Posters & Details: Integrated with The Movie Database (TMDb) API, the app fetches movie posters so cool you’ll want to frame them. Plus, get all the details in one place.
🔹 Movie Details Galore: Click on a recommended movie and dive into its release date, category type, time, rating, overview, actor and actress, and twam. It’s like having a personal movie guide!
Tech Stack:
Streamlit for the web app pandas for data handling requests for fetching movie info pickle for data storage TMDb API for fetching those awesome posters Note* : make sure to add api key og IMTD in app.py filr.
What’s next? The app is still in development, but I’m eager to deploy it soon. Stay tuned for updates!
I’m excited about this project and can’t wait for you all to try it out. linkedin : https://www.linkedin.com/in/kaushik-pandav-41b433228/
Thanks for giving your valuable time
how do you like this project, give me a little response on this post. 😉
Thanks for giving your valuable time
how do you like this project, give me a little response on this post. 😉