Emotion detection on browser using TensorFlow.js
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Updated
May 23, 2020 - HTML
Emotion detection on browser using TensorFlow.js
Face detection from webcam in browser using javascript library face-api.js
🐱 A program that sends cats to my phone when I'm sad at the computer.
Online music therapist
Live facial expression to emoji with your webcam.
Data Science Project
Let the AI detect the face(s), gender, age and face expressions on your instagram profile picture
Shows the 🔼 and 🔽 of your life. Encourages you to 😂 more. (Facebook Hackathon 2018)
Windows control through facial gestures and emotion recognition. You can now act surprised when caught on stack overflow and boom your work windows are back on top. Raise or Lower the volume with your eyebrows, take a screenshot with a smile or send a message with a kiss.
The Text-Based-Emotion-Detector Web App is an easy-to-use tool for analyzing emotions in text. Whether it's an article, a comment, or any other textual input, the app uncovers the underlying emotional tone. The app uses the MeaningCloud Sentiment Analysis API to analyze the text and provide a detailed report on the emotions detected.
This Project Detects the emotion of the user and plays the song based on that emotion.
Deployment of Facial Emotion Model
A flask application in Python with deep learning based models to detect human emotions from webcam feed and playing music of the desired genre
EmoTunes, an incredible music app that allows you to discover and enjoy songs based on your current facial emotions.
The aim of the project is to develop a deep learning model (multi-class classifier) aimed at detecting emotions in social media dialogues.
Project for course Context Applications. App checking satisfaction level of costumers by using Microsoft Emotions API.
Gauges audience emotional reaction in real-time. Won best newcomer hack at Imperial College Hack 2018. 👻
Real-time music emotion analysis
Final Thesis Dissertation in Fulfillment of our Bachelor of Science in Engineering (B.Sc.Engg) with major in Computer Science and Engineering. This research is entitled *Optimized Human-Emotion Detection in Written-Text using Hybrid Machine Learning Classification Algorithm*, with codename *OEHML* Framework.
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