The 'I built' Series (6 Part Series)
Hemuer-AI : Laugh when everyone laughs, smile when everyone smiles!
Hemeur is an AI Tool to record facial expressions of users as they watch a video and then visualize the data!
Insights can be gathered from collected data!
- Backend - NodeJS Express, mongoose and amqplib
- Database - MongoDB
- Message Queue - RabbitMQ on CloudAMQP
- Hosting - Heroku - Free Tier
- Local Development - Docker and Docker Compose
Camera detects the expression of the viewer
face-api.js with TensorflowJS detects the expressions, sends a POST to the backend.
Write expressions to MQ
NodeJS writes the expressions to RabbitMQ
Write expressions to the database
Data from the MQ is now moved over to the database for storage and popped off the queue.
Insights are generated from the collected data
The expressions and their positions in the video are noted down, and visualized in the UI.
Screen jiggles when you giggle!
Chat Panel, pops every time someone laughs (or talks)
Links above the messages, allow to skip to the funny bits
Facial Recognition is done in the browser itself. No video ever leaves your device.
Hemuer, is powered by RabbitMQ, this adds real-time chat support! Transactions go to the MQ first, then are stored in the database.
This keeps things up and running even during high traffic!
The Stats page displays Smiles vs their Position in Video.
This can be used to find, seek and skip to the funniest bits of the video.
This is where I nag you for stars... 😪
Can I get a star?
- A Chrome Extension for YouTube?
- A Tool for Focus Groups and Scientific Studies?
- Imagine as a Netflix, Hulu or Amazon Prime Video, you could pay your users X$ to consensually let you see their reactions to your content, you could have real data to decide what parts of the Comedy Special are truly funny.
- Something creepy straight out of 1984?
- Docker and Docker Compose needs to be installed on your machine
- Clone the Repo from CT83/Hemuer-AI-Expression-Detector
docker-compose up --build
- Visit http://localhost:3000/
- Smile. 🙂
- Deploy the NodeJS App on Heroku This should work right out of the box, if you follow the current repo struct.
- Create a MQ on CloudAMQP and add the as an environment variable.
- Create a MongoDB add on for the App
- Boom! Done
- Vincent Mühler for Face Recognition