NETFLIX QUICKS

The Streaming Dilemma

So many users look for a show, can't find one after a few minutes of searching, give up, and end up watching Youtube or scrolling through TikTok for their entertainment.

Poll Results

Out of every time you have opened Netflix to look for a show, what percentage of the time do you actually find a show and decide to watch it?

Have you ever opened a different entertainment app other than Netflix , knowing that you if you opened Netflix you probably wouldn’t find a show to watch?

What is your most used form of online entertainment?

The Solution : Netflix Quicks


A short content system added to classic Netflix, allowing users to scroll through Tik-Tok style videos to discover new shows and games, re-enjoy moments from their favorite shows, and to connect with the Netflix community to discuss their favorite moments.

Explore Features

Explore Features

Features

🔍

Find Page

Users can scroll through popular clips and trailers of recommended shows, allowing sneak peaks of their next binge watch.

⏪

Rewind Page

Users can enjoy moments from their favorite shows, whether they are intense scenes from their favorite action show, or hilarious clips from their favorite comedies.

💬

Connect Page

Users can choose to join chatrooms of previously watched shows, or choose to join episode specific chatrooms of shows they are currently watching.

🎮

Game Page

Users can scroll through Netflix's collection of games, watch gameplay clips, and find their next favorite gaming experience without leaving the Netflix app.

Powered By

Cutting-edge technology that delivers seamless streaming experiences

📱

Technical Stack Used

  • React Native - Cross-platform mobile development
  • React.js - Component-based UI library
  • TypeScript - Type-safe JavaScript
  • Expo - React Native development tools
  • Styled Components - Styling solution
  • Redux - State management
View Frontend Repo
🎬

App Demo

Experience Netflix Quicks in action! See how users discover new content, rewind their favorite moments, and connect with other Netflix fans.

🧠

ML Recommendation Stack

  • TensorFlow - Machine learning framework
  • PyTorch - Deep learning library
  • scikit-learn - ML algorithms
  • Collaborative filtering - User preference analysis
  • Content-based filtering - Show similarity analysis
  • AWS SageMaker - ML model deployment
View ML Repo

Additional

Netflix already has a powerful recommendation system, however with better data, it can be improved.
-Through the connectivity and network of the connect page, show recommendations can become more accurate through knowing what chatrooms you are apart of
- Incorporating a 1-10 rating system instead of a thumbs up system will also strongly boost accurate recommendations
-Addition