Skip to content

ddishi/FastIMDb

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Fast IMDb

Final Project - 'From Idea to Reality Using AI' Course by David Kalmanson at Reichman University


Overview

Welcome to the Celeb Recognition Web App! With our application, you can upload images or even use a webcam to recognize celebrities. Built using state-of-the-art techniques, we ensure efficient and fast recognition.

Notice the available celebs for recognition - full list


Installation & Usage

  • Make sure you have python installed and install the relevant imported packages from the code if needed.
  • Run server file to start the server.
  • Go to http://127.0.0.1:8000/.
  • If you encounter any troubles feel free to contact me.

Check out the demo!


Features

  • DataBase: All the celebrity data was meticulously scraped from IMDb.

  • AWS RDS Database Integration: Our app uses AWS RDS to store data across multiple tables:

    • Celeb2: Contains detailed information about celebrities.
    • Celeb_Images: Houses URLs for additional celebrity images.
    • Face_Encodings: Contains face encodings for all processed images.
  • AWS S3 Storage: Main images of celebrities are stored in AWS S3. We've also implemented a mechanism to generate special URLs to present these images directly from the database.

  • Performance: For optimal performance in image similarity search, we employ the Annoy library.

  • Multiple Images: Each celebrity is backed by 10 - 30 images in our database to ensure accurate recognition.

  • Webcam Support: Users can utilize their webcams for real-time celebrity recognition. However, due to the downgraded resolution of webcam images, the accuracy might be slightly lower than using uploaded images.

  • Analytics: Using Google Analytics for detailed statistics and analytics about website traffic and conversions.


Upcoming Features

  • AWS EC2: Integration with EC2 will be available in the upcoming version. Stay tuned for the website url!

  • More Celebrities: Our database is ever-growing! Stay tuned for the addition of more celebrities in the next update.


About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors